Hi all, I proposed to create Wikiopinion.org based on our work on AgreeList that might fit into Wikidata [1]. I paste it here:
Storytelling was the most important way to share knowledge for thousands of years — before writing was invented — so our brains evolved to be influenced by stories. As Conor Neil explains, many times we are still “more easily persuaded by one clear and concrete anecdote than by data and expert statistical analysis”. He says that, “an anecdote is a one off. It is not data. It is not science. It is dangerous”.
This made me think about two things:
Firstly, people such as Lydia Pintscher of Wikidata and Dario Taraborelli of Wikicite are working on projects that improve considerably the quality of Wikipedia and they could even accelerate world’s research.
Wikidata is a collaboratively edited knowledge base: ...
And Wikicite is building a repository of all Wikimedia citations and bibliographic metadata. The sum of all citations: ...
Secondly, it also made me think about how this relates to the work we have been doing with AgreeList.com With AgreeList, we are creating a ‘platform for informed opinions’ that gathers the opinions of leading experts and influencers and favors the building of rational opinions on issues of key importance. Our first issue was ‘Brexit’ where we collected the opinions of almost 2000 opinion-makers on the impact of Brexit to the UK economy, immigration, politics, and education, and built a summary of opinions on both sides to inform the public during the referendum. In other words, we believe in the value of informed opinions over anecdotes and the data of who agrees on what and why can help us to build our own opinion. E.g. if NASA, the Royal Society, Obama, the Pope and a friend of mine who knows more about climate change than me think that it’s real and we should do more to tackle it, I believe it.
Similarly, if I read something health-related, I can check the number of doctors who agree or disagree as fast as I see the number of likes on Facebook. If it is more than 95%, I believe it straight away. Done. I learned a new thing today. This way we could fight the fact that false health content seems to be more popular on social media and we could get informed of more topics than ever.
When we are interested in a topic and have time, we read about it and contrast different points of views. But when we don’t have time or are not interested in something, we believe what our culture, friends and influencers say. And we are so bombarded with information nowadays that we can’t get informed about everything all the time.
However, when we want to have an educated opinion about a complex topic such as Universal Basic Income, we can read the arguments and even go to the sources where we can find more information. We are still building up the database on Basic Income and it is currently biased towards opinions in favour given that it is easier to find them given how early stage the public debate and the AgreeList tool are, but you can see below what different opinion-makers say about Universal Basic Income via Agreelist: ...
And when there are many opinions, such as on Brexit, we organise them in a board or summary that aggregates the arguments per categories.
We can also filter them by profession, university, awards (e.g. Nobel Prize winners), etc. E.g: ...
How did we get this data? First, the data from occupations comes from Wikidata. Second, the data of who agrees on topics such as these ones is on AgreeList. These lists are crowdsourced — people add influencer’s opinions. Users only need to provide a source, for example an article in the New York Times or the tweet of the person. Moreover, users of the site can vote and add their own opinions and, at some point, we could aggregate opinions automatically by semantic analysis. This way we might organise all the opinions in the world on key topics or statements. AgreeList or Wikiopinion could one day become ‘The sum of all opinions’.
We can also play with Google BigQuery to do joins of AgreeList’s tables with Wikidata’s ones. For example, in order to get all Nobel laureates in economics that agreed or disagreed on Brexit before the referendum we did a query and we got: ...
Extent is the degree to which they agree (at least for now it can only be 100=agree or 0=disagree). Therefore we got that from all Nobel laureates in economics that have ever given their opinion on Brexit (on the BBC, their twitter account or whatever), all 11 of them disagreed. As every opinion/vote on AgreeList has a source, we see then that 10 of them signed a letter published on The Guardian and the other one is Paul Krugman who gave his opinion in The New York Times.
Then, if for example we go to Paul Krugman’s Wikidata page, we see that he worked for the MIT in the past. What if we want now to get all the public figures that supported Hillary Clinton or Donald Trump who work or have worked for the MIT? Easy, we just change the property to P108 (employer), set it in the where clause to Q49108 (MIT) and select the statement_id=182 (or we could add a new join and specify the title) and the result of this new query is: ...
We see that from 7 people who are or have been employed by the MIT, 6 of them preferred Hillary Clinton to Donald Trump.
This is what we have done until now.
The next natural step of AgreeList is to add social network features where you can see what people you follow are discussing, opinions from the topics you follow, etc. Next, if I post/agree that governments should do more to tackle climate change, other users could add then that I also agree that climate change is real and that we need to act on climate change — organising in this way the opinions.
Other important aspect could be that AgreeList questions your opinions. Besides having the list of people who disagree with you (and why) just there, it could tell you, do you know that Tim Berners-Lee and your friend from school disagree with you on this? Would you like to see why? Therefore, this could be a social network which challenges what you post and help to tackle the fact that the Internet is allegedly full of myths and mis-truths — as pointed out by Tim Berners-Lee says. Similarly, Facebook recently said that it must do more to stop the spread of misinformation on its platform.
This could be specially important because on mainstream social media there is a filter bubble — as described by Eli Pariser in one of his books. Social media networks tend to hide the opinions that differ from what we think. We only listen to the media that agrees with what we think.
This is so significant that Tom Steinberg said that social media giants will be remembered, not by their business successes, but by how well they tackle the problem of the filter bubble.
This filter bubble makes the polarisation of opinions worse. You can see Barack Obama talking about polarisation of opinions: ...
Taking all of this into account, we are considering whether the best approach for Agreelist is a non-profit project in a new organisation or under Wikimedia Foundation if they like the idea — it could be renamed as Wikiopinion.org — or a for-profit startup.
As a non-profit project it would focus on its social impact and it would follow the three golden rules of the Internet: nobody owns it, everybody uses it, and anybody can add services to it — which are what distinguished the Internet from any previous communications medium according to Vinton Cerf— so initially that seems to make sense.
On Wikipedia, Wikidata and the other Wikimedia projects, facts precede opinions. So it is not clear if Agreelist (or Wikiopinion.org) would be a good fit as a non-profit project under the Wikimedia umbrella.
In fact, my friend Ángel Alberich — CEO @QuibimBiomarker & MIT Innovator Under 35 — says that facts should not be opinable. However, I argue that knowing exactly who has a different opinion (and why) might be really useful. For example, more than 100 Nobel laureates signed a letterendorsing Genetic Modified Organisms (GMO) and challenging the environmental NGO Greenpeace to halt its anti-GMO campaigns to prevent the introduction of potentially life saving options for the world’s poor. Ángel said that there is not a single scientific paper which says that they present a hazard for human health. But as Greenpeace and many governments are so reluctant, isn’t there a clear need for something else that facilitates discussion? Would it not be useful to know which ones of your friends and representatives disagree and try to convince them?
Similarly, despite the fact that almost all scientists agree that climate change is real and that we need to act, there are still many politicians who deny it or don’t do enough to tackle it.
However, as Greg Mankiw — Harvard professor in economics — said in Leonardo DiCaprio’s recent film about climate change, if we want to change politicians view on something, we have to change people’s view first.
Therefore, a social network which organises opinions and challenges what you think might help to do so. Actually, Barack Obama recently said on Wired that at some point we might make voting and civic activism as addictive as scrolling through your Twitter feed.
Let’s do exactly that, a social network where we discover, share and organise a plurality of opinions where the objective could be to help us make up our mind. In other words, to accelerate quality decision making.
And this could be really important because of three reasons:
As the MIT professor Alex Pentland said:
The biggest problem in the world is not global warming, is not war, but how can we organise among ourselves to make good decisions and carry them out. ...
2. According to Terry Jones— disruption occurs when new technology allows us to deliver new forms of asynchronous communication. And this is what AgreeList is about. Until now, if you wanted to get a quick opinion on Basic Income and the arguments on both sides, you had to go to many different sites or talk to multiple people. Not any more.
3. As the economist Jeffrey Sachs said in his book The End of Poverty, the single most important reason why prosperity spreads is the transmission of technologies and the ideas underlying them. But currently we don’t need more bridges or faster communications (in the privileged part of the world), but making up our mind accurately in the myriad of the new topics that arise in our hectic lives.
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPere z/wikipedias-social-network-578b0257b8ae
Hello Hector,
This all sounds very exciting. Kudos to you!!
According to my own opinion, I would say Wikiopinion.org fall under a non-profit project under Wikimedia Foundation. Yes, I'm up for this and would like to join as a volunteer(Developer/Community Liaison). I'll help Wikiopinion.org to fund raise.
Looking forward to join your team.
Regards, Amit Kumar Jaiswal
On 1/4/17, Hector Perez hecpeare@gmail.com wrote:
Hi all, I proposed to create Wikiopinion.org based on our work on AgreeList that might fit into Wikidata [1]. I paste it here:
Storytelling was the most important way to share knowledge for thousands of years — before writing was invented — so our brains evolved to be influenced by stories. As Conor Neil explains, many times we are still “more easily persuaded by one clear and concrete anecdote than by data and expert statistical analysis”. He says that, “an anecdote is a one off. It is not data. It is not science. It is dangerous”.
This made me think about two things:
Firstly, people such as Lydia Pintscher of Wikidata and Dario Taraborelli of Wikicite are working on projects that improve considerably the quality of Wikipedia and they could even accelerate world’s research.
Wikidata is a collaboratively edited knowledge base: ...
And Wikicite is building a repository of all Wikimedia citations and bibliographic metadata. The sum of all citations: ...
Secondly, it also made me think about how this relates to the work we have been doing with AgreeList.com With AgreeList, we are creating a ‘platform for informed opinions’ that gathers the opinions of leading experts and influencers and favors the building of rational opinions on issues of key importance. Our first issue was ‘Brexit’ where we collected the opinions of almost 2000 opinion-makers on the impact of Brexit to the UK economy, immigration, politics, and education, and built a summary of opinions on both sides to inform the public during the referendum. In other words, we believe in the value of informed opinions over anecdotes and the data of who agrees on what and why can help us to build our own opinion. E.g. if NASA, the Royal Society, Obama, the Pope and a friend of mine who knows more about climate change than me think that it’s real and we should do more to tackle it, I believe it.
Similarly, if I read something health-related, I can check the number of doctors who agree or disagree as fast as I see the number of likes on Facebook. If it is more than 95%, I believe it straight away. Done. I learned a new thing today. This way we could fight the fact that false health content seems to be more popular on social media and we could get informed of more topics than ever.
When we are interested in a topic and have time, we read about it and contrast different points of views. But when we don’t have time or are not interested in something, we believe what our culture, friends and influencers say. And we are so bombarded with information nowadays that we can’t get informed about everything all the time.
However, when we want to have an educated opinion about a complex topic such as Universal Basic Income, we can read the arguments and even go to the sources where we can find more information. We are still building up the database on Basic Income and it is currently biased towards opinions in favour given that it is easier to find them given how early stage the public debate and the AgreeList tool are, but you can see below what different opinion-makers say about Universal Basic Income via Agreelist: ...
And when there are many opinions, such as on Brexit, we organise them in a board or summary that aggregates the arguments per categories.
We can also filter them by profession, university, awards (e.g. Nobel Prize winners), etc. E.g: ...
How did we get this data? First, the data from occupations comes from Wikidata. Second, the data of who agrees on topics such as these ones is on AgreeList. These lists are crowdsourced — people add influencer’s opinions. Users only need to provide a source, for example an article in the New York Times or the tweet of the person. Moreover, users of the site can vote and add their own opinions and, at some point, we could aggregate opinions automatically by semantic analysis. This way we might organise all the opinions in the world on key topics or statements. AgreeList or Wikiopinion could one day become ‘The sum of all opinions’.
We can also play with Google BigQuery to do joins of AgreeList’s tables with Wikidata’s ones. For example, in order to get all Nobel laureates in economics that agreed or disagreed on Brexit before the referendum we did a query and we got: ...
Extent is the degree to which they agree (at least for now it can only be 100=agree or 0=disagree). Therefore we got that from all Nobel laureates in economics that have ever given their opinion on Brexit (on the BBC, their twitter account or whatever), all 11 of them disagreed. As every opinion/vote on AgreeList has a source, we see then that 10 of them signed a letter published on The Guardian and the other one is Paul Krugman who gave his opinion in The New York Times.
Then, if for example we go to Paul Krugman’s Wikidata page, we see that he worked for the MIT in the past. What if we want now to get all the public figures that supported Hillary Clinton or Donald Trump who work or have worked for the MIT? Easy, we just change the property to P108 (employer), set it in the where clause to Q49108 (MIT) and select the statement_id=182 (or we could add a new join and specify the title) and the result of this new query is: ...
We see that from 7 people who are or have been employed by the MIT, 6 of them preferred Hillary Clinton to Donald Trump.
This is what we have done until now.
The next natural step of AgreeList is to add social network features where you can see what people you follow are discussing, opinions from the topics you follow, etc. Next, if I post/agree that governments should do more to tackle climate change, other users could add then that I also agree that climate change is real and that we need to act on climate change — organising in this way the opinions.
Other important aspect could be that AgreeList questions your opinions. Besides having the list of people who disagree with you (and why) just there, it could tell you, do you know that Tim Berners-Lee and your friend from school disagree with you on this? Would you like to see why? Therefore, this could be a social network which challenges what you post and help to tackle the fact that the Internet is allegedly full of myths and mis-truths — as pointed out by Tim Berners-Lee says. Similarly, Facebook recently said that it must do more to stop the spread of misinformation on its platform.
This could be specially important because on mainstream social media there is a filter bubble — as described by Eli Pariser in one of his books. Social media networks tend to hide the opinions that differ from what we think. We only listen to the media that agrees with what we think.
This is so significant that Tom Steinberg said that social media giants will be remembered, not by their business successes, but by how well they tackle the problem of the filter bubble.
This filter bubble makes the polarisation of opinions worse. You can see Barack Obama talking about polarisation of opinions: ...
Taking all of this into account, we are considering whether the best approach for Agreelist is a non-profit project in a new organisation or under Wikimedia Foundation if they like the idea — it could be renamed as Wikiopinion.org — or a for-profit startup.
As a non-profit project it would focus on its social impact and it would follow the three golden rules of the Internet: nobody owns it, everybody uses it, and anybody can add services to it — which are what distinguished the Internet from any previous communications medium according to Vinton Cerf— so initially that seems to make sense.
On Wikipedia, Wikidata and the other Wikimedia projects, facts precede opinions. So it is not clear if Agreelist (or Wikiopinion.org) would be a good fit as a non-profit project under the Wikimedia umbrella.
In fact, my friend Ángel Alberich — CEO @QuibimBiomarker & MIT Innovator Under 35 — says that facts should not be opinable. However, I argue that knowing exactly who has a different opinion (and why) might be really useful. For example, more than 100 Nobel laureates signed a letterendorsing Genetic Modified Organisms (GMO) and challenging the environmental NGO Greenpeace to halt its anti-GMO campaigns to prevent the introduction of potentially life saving options for the world’s poor. Ángel said that there is not a single scientific paper which says that they present a hazard for human health. But as Greenpeace and many governments are so reluctant, isn’t there a clear need for something else that facilitates discussion? Would it not be useful to know which ones of your friends and representatives disagree and try to convince them?
Similarly, despite the fact that almost all scientists agree that climate change is real and that we need to act, there are still many politicians who deny it or don’t do enough to tackle it.
However, as Greg Mankiw — Harvard professor in economics — said in Leonardo DiCaprio’s recent film about climate change, if we want to change politicians view on something, we have to change people’s view first.
Therefore, a social network which organises opinions and challenges what you think might help to do so. Actually, Barack Obama recently said on Wired that at some point we might make voting and civic activism as addictive as scrolling through your Twitter feed.
Let’s do exactly that, a social network where we discover, share and organise a plurality of opinions where the objective could be to help us make up our mind. In other words, to accelerate quality decision making.
And this could be really important because of three reasons:
As the MIT professor Alex Pentland said:
The biggest problem in the world is not global warming, is not war, but how can we organise among ourselves to make good decisions and carry them out. ...
- According to Terry Jones— disruption occurs when new technology allows
us to deliver new forms of asynchronous communication. And this is what AgreeList is about. Until now, if you wanted to get a quick opinion on Basic Income and the arguments on both sides, you had to go to many different sites or talk to multiple people. Not any more.
- As the economist Jeffrey Sachs said in his book The End of Poverty, the
single most important reason why prosperity spreads is the transmission of technologies and the ideas underlying them. But currently we don’t need more bridges or faster communications (in the privileged part of the world), but making up our mind accurately in the myriad of the new topics that arise in our hectic lives.
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPere z/wikipedias-social-network-578b0257b8ae
Hi Amit,
Thanks for your email. I'll contact you privately.
Kind regards, Hector
On Jan 4, 2017 9:44 AM, "AMIT KUMAR JAISWAL" amitkumarj441@gmail.com wrote:
Hello Hector,
This all sounds very exciting. Kudos to you!!
According to my own opinion, I would say Wikiopinion.org fall under a non-profit project under Wikimedia Foundation. Yes, I'm up for this and would like to join as a volunteer(Developer/Community Liaison). I'll help Wikiopinion.org to fund raise.
Looking forward to join your team.
Regards, Amit Kumar Jaiswal
On 1/4/17, Hector Perez hecpeare@gmail.com wrote:
Hi all, I proposed to create Wikiopinion.org based on our work on
AgreeList
that might fit into Wikidata [1]. I paste it here:
Storytelling was the most important way to share knowledge for thousands
of
years — before writing was invented — so our brains evolved to be influenced by stories. As Conor Neil explains, many times we are still “more easily persuaded by one clear and concrete anecdote than by data
and
expert statistical analysis”. He says that, “an anecdote is a one off. It is not data. It is not science. It is dangerous”.
This made me think about two things:
Firstly, people such as Lydia Pintscher of Wikidata and Dario Taraborelli of Wikicite are working on projects that improve considerably the quality of Wikipedia and they could even accelerate world’s research.
Wikidata is a collaboratively edited knowledge base: ...
And Wikicite is building a repository of all Wikimedia citations and bibliographic metadata. The sum of all citations: ...
Secondly, it also made me think about how this relates to the work we
have
been doing with AgreeList.com With AgreeList, we are creating a ‘platform for informed opinions’ that gathers the opinions of leading experts and influencers and favors the building of rational opinions on issues of key importance. Our first issue was ‘Brexit’ where we collected the opinions
of
almost 2000 opinion-makers on the impact of Brexit to the UK economy, immigration, politics, and education, and built a summary of opinions on both sides to inform the public during the referendum. In other words, we believe in the value of informed opinions over anecdotes and the data of who agrees on what and why can help us to build our own opinion. E.g. if NASA, the Royal Society, Obama, the Pope and a friend of mine who knows more about climate change than me think that it’s real and we should do more to tackle it, I believe it.
Similarly, if I read something health-related, I can check the number of doctors who agree or disagree as fast as I see the number of likes on Facebook. If it is more than 95%, I believe it straight away. Done. I learned a new thing today. This way we could fight the fact that false health content seems to be more popular on social media and we could get informed of more topics than ever.
When we are interested in a topic and have time, we read about it and contrast different points of views. But when we don’t have time or are
not
interested in something, we believe what our culture, friends and influencers say. And we are so bombarded with information nowadays that
we
can’t get informed about everything all the time.
However, when we want to have an educated opinion about a complex topic such as Universal Basic Income, we can read the arguments and even go to the sources where we can find more information. We are still building up the database on Basic Income and it is currently biased towards opinions
in
favour given that it is easier to find them given how early stage the public debate and the AgreeList tool are, but you can see below what different opinion-makers say about Universal Basic Income via Agreelist: ...
And when there are many opinions, such as on Brexit, we organise them in
a
board or summary that aggregates the arguments per categories.
We can also filter them by profession, university, awards (e.g. Nobel
Prize
winners), etc. E.g: ...
How did we get this data? First, the data from occupations comes from Wikidata. Second, the data of who agrees on topics such as these ones is
on
AgreeList. These lists are crowdsourced — people add influencer’s
opinions.
Users only need to provide a source, for example an article in the New
York
Times or the tweet of the person. Moreover, users of the site can vote
and
add their own opinions and, at some point, we could aggregate opinions automatically by semantic analysis. This way we might organise all the opinions in the world on key topics or statements. AgreeList or
Wikiopinion
could one day become ‘The sum of all opinions’.
We can also play with Google BigQuery to do joins of AgreeList’s tables with Wikidata’s ones. For example, in order to get all Nobel laureates in economics that agreed or disagreed on Brexit before the referendum we
did a
query and we got: ...
Extent is the degree to which they agree (at least for now it can only be 100=agree or 0=disagree). Therefore we got that from all Nobel laureates
in
economics that have ever given their opinion on Brexit (on the BBC, their twitter account or whatever), all 11 of them disagreed. As every opinion/vote on AgreeList has a source, we see then that 10 of them
signed
a letter published on The Guardian and the other one is Paul Krugman who gave his opinion in The New York Times.
Then, if for example we go to Paul Krugman’s Wikidata page, we see that
he
worked for the MIT in the past. What if we want now to get all the public figures that supported Hillary Clinton or Donald Trump who work or have worked for the MIT? Easy, we just change the property to P108 (employer), set it in the where clause to Q49108 (MIT) and select the
statement_id=182
(or we could add a new join and specify the title) and the result of this new query is: ...
We see that from 7 people who are or have been employed by the MIT, 6 of them preferred Hillary Clinton to Donald Trump.
This is what we have done until now.
The next natural step of AgreeList is to add social network features
where
you can see what people you follow are discussing, opinions from the
topics
you follow, etc. Next, if I post/agree that governments should do more to tackle climate change, other users could add then that I also agree that climate change is real and that we need to act on climate change — organising in this way the opinions.
Other important aspect could be that AgreeList questions your opinions. Besides having the list of people who disagree with you (and why) just there, it could tell you, do you know that Tim Berners-Lee and your
friend
from school disagree with you on this? Would you like to see why? Therefore, this could be a social network which challenges what you post and help to tackle the fact that the Internet is allegedly full of myths and mis-truths — as pointed out by Tim Berners-Lee says. Similarly, Facebook recently said that it must do more to stop the spread of misinformation on its platform.
This could be specially important because on mainstream social media
there
is a filter bubble — as described by Eli Pariser in one of his books. Social media networks tend to hide the opinions that differ from what we think. We only listen to the media that agrees with what we think.
This is so significant that Tom Steinberg said that social media giants will be remembered, not by their business successes, but by how well they tackle the problem of the filter bubble.
This filter bubble makes the polarisation of opinions worse. You can see Barack Obama talking about polarisation of opinions: ...
Taking all of this into account, we are considering whether the best approach for Agreelist is a non-profit project in a new organisation or under Wikimedia Foundation if they like the idea — it could be renamed as Wikiopinion.org — or a for-profit startup.
As a non-profit project it would focus on its social impact and it would follow the three golden rules of the Internet: nobody owns it, everybody uses it, and anybody can add services to it — which are what
distinguished
the Internet from any previous communications medium according to Vinton Cerf— so initially that seems to make sense.
On Wikipedia, Wikidata and the other Wikimedia projects, facts precede opinions. So it is not clear if Agreelist (or Wikiopinion.org) would be a good fit as a non-profit project under the Wikimedia umbrella.
In fact, my friend Ángel Alberich — CEO @QuibimBiomarker & MIT Innovator Under 35 — says that facts should not be opinable. However, I argue that knowing exactly who has a different opinion (and why) might be really useful. For example, more than 100 Nobel laureates signed a
letterendorsing
Genetic Modified Organisms (GMO) and challenging the environmental NGO Greenpeace to halt its anti-GMO campaigns to prevent the introduction of potentially life saving options for the world’s poor. Ángel said that
there
is not a single scientific paper which says that they present a hazard
for
human health. But as Greenpeace and many governments are so reluctant, isn’t there a clear need for something else that facilitates discussion? Would it not be useful to know which ones of your friends and representatives disagree and try to convince them?
Similarly, despite the fact that almost all scientists agree that climate change is real and that we need to act, there are still many politicians who deny it or don’t do enough to tackle it.
However, as Greg Mankiw — Harvard professor in economics — said in
Leonardo
DiCaprio’s recent film about climate change, if we want to change politicians view on something, we have to change people’s view first.
Therefore, a social network which organises opinions and challenges what you think might help to do so. Actually, Barack Obama recently said on Wired that at some point we might make voting and civic activism as addictive as scrolling through your Twitter feed.
Let’s do exactly that, a social network where we discover, share and organise a plurality of opinions where the objective could be to help us make up our mind. In other words, to accelerate quality decision making.
And this could be really important because of three reasons:
As the MIT professor Alex Pentland said:
The biggest problem in the world is not global warming, is not war, but
how
can we organise among ourselves to make good decisions and carry them
out.
...
- According to Terry Jones— disruption occurs when new technology allows
us to deliver new forms of asynchronous communication. And this is what AgreeList is about. Until now, if you wanted to get a quick opinion on Basic Income and the arguments on both sides, you had to go to many different sites or talk to multiple people. Not any more.
- As the economist Jeffrey Sachs said in his book The End of Poverty,
the
single most important reason why prosperity spreads is the transmission
of
technologies and the ideas underlying them. But currently we don’t need more bridges or faster communications (in the privileged part of the world), but making up our mind accurately in the myriad of the new topics that arise in our hectic lives.
To sum up, we think that a social network that challenges what you post
and
organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPere z/wikipedias-social-network-578b0257b8ae
-- Amit Kumar Jaiswal [Mozilla Reps](reps.mozilla.org/u/amitkumarj441) [Fedora Contributor](https://fedoraproject.org/wiki/User:Amitkumarjaiswal) Kanpur | Uttar Pradesh | India Contact No.- +91-8081187743 [Web](http://amitkumarj441.github.io) | Twitter: @amit_gkp LinkedIn: http://in.linkedin.com/in/amitkumarjaiswal1 PGP Key: EBE7 39F0 0427 4A2C
Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
On 1/4/17 3:34 AM, Hector Perez wrote:
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPerez/wikipedias-social-network-578b0257b8ae https://medium.com/@HectorPerez/wikipedias-social-network-578b0257b8ae
Nice idea! I've copied in the DBpedia list, as this would be of interest to that community also.
I passed your Medium post through our Linked Data Middleware service en route to demonstrating what might complement your ultimate goal. Here are the results:
[1] http://linkeddata.uriburner.com/about/html/https/medium.com/@HectorPerez/wik...
[2] http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uribur...
Fundamentally, what you see is the effect of loosely-coupled NLP, AI, and Machine Learning oriented services that collectively contribute to a final Linked Open Data graph that represents a variety of entity relationships and entity relationship types :)
Kingsley, thanks for sending it to DBpedia's list too.
I'll have a look at your Linked Data Middleware!
On Wed, Jan 4, 2017 at 8:36 PM, Kingsley Idehen kidehen@openlinksw.com wrote:
On 1/4/17 3:34 AM, Hector Perez wrote:
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPere z/wikipedias-social-network-578b0257b8ae
Nice idea! I've copied in the DBpedia list, as this would be of interest to that community also.
I passed your Medium post through our Linked Data Middleware service en route to demonstrating what might complement your ultimate goal. Here are the results:
[1] http://linkeddata.uriburner.com/about/html/https/medium. com/@HectorPerez/wikipedias-social-network-578b0257b8ae#.bvs2iko2w
[2] http://linkeddata.uriburner.com/describe/?url=http%3A%2F% 2Flinkeddata.uriburner.com%2Fabout%2Fid%2Fentity%2Fhttps% 2Fmedium.com%2F@HectorPerez%2Fwikipedias-social-network- 578b0257b8ae&distinct=1
Fundamentally, what you see is the effect of loosely-coupled NLP, AI, and Machine Learning oriented services that collectively contribute to a final Linked Open Data graph that represents a variety of entity relationships and entity relationship types :)
-- Regards,
Kingsley Idehen Founder & CEO OpenLink Software (Home Page: http://www.openlinksw.com)
Weblogs (Blogs): Legacy Blog: http://www.openlinksw.com/blog/~kidehen/ Blogspot Blog: http://kidehen.blogspot.com Medium Blog: https://medium.com/@kidehen
Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about LinkedIn: http://www.linkedin.com/in/kidehen
Web Identities (WebID): Personal: http://kingsley.idehen.net/dataspace/person/kidehen#this : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
Maybe you would like to take a look to https://lib.reviews a wiki for reviewing all kind of things using wikidata items
2017-01-05 20:39 GMT+01:00 Hector Perez hi@hectorperezarenas.com:
Kingsley, thanks for sending it to DBpedia's list too.
I'll have a look at your Linked Data Middleware!
On Wed, Jan 4, 2017 at 8:36 PM, Kingsley Idehen kidehen@openlinksw.com wrote:
On 1/4/17 3:34 AM, Hector Perez wrote:
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPere z/wikipedias-social-network-578b0257b8ae
Nice idea! I've copied in the DBpedia list, as this would be of interest to that community also.
I passed your Medium post through our Linked Data Middleware service en route to demonstrating what might complement your ultimate goal. Here are the results:
[1] http://linkeddata.uriburner.com/about/html/https/medium.com/ @HectorPerez/wikipedias-social-network-578b0257b8ae#.bvs2iko2w
[2] http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Fl inkeddata.uriburner.com%2Fabout%2Fid%2Fentity%2Fhttps%2Fmedi um.com%2F@HectorPerez%2Fwikipedias-social-network-578b0257b8ae&distinct=1
Fundamentally, what you see is the effect of loosely-coupled NLP, AI, and Machine Learning oriented services that collectively contribute to a final Linked Open Data graph that represents a variety of entity relationships and entity relationship types :)
-- Regards,
Kingsley Idehen Founder & CEO OpenLink Software (Home Page: http://www.openlinksw.com)
Weblogs (Blogs): Legacy Blog: http://www.openlinksw.com/blog/~kidehen/ Blogspot Blog: http://kidehen.blogspot.com Medium Blog: https://medium.com/@kidehen
Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about LinkedIn: http://www.linkedin.com/in/kidehen
Web Identities (WebID): Personal: http://kingsley.idehen.net/dataspace/person/kidehen#this : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
On 1/21/17 12:42 PM, Quico Prol wrote:
Maybe you would like to take a look to https://lib.reviews a wiki for reviewing all kind of things using wikidata items
Given the document at: https://lib.reviews/review/ac478596-e571-4891-b882-5508aea9d9bf
How do I make the connection with what you state above re. wikidata items?
Kingsley
2017-01-05 20:39 GMT+01:00 Hector Perez <hi@hectorperezarenas.com mailto:hi@hectorperezarenas.com>:
Kingsley, thanks for sending it to DBpedia's list too. I'll have a look at your Linked Data Middleware! On Wed, Jan 4, 2017 at 8:36 PM, Kingsley Idehen <kidehen@openlinksw.com <mailto:kidehen@openlinksw.com>> wrote: On 1/4/17 3:34 AM, Hector Perez wrote:
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise? Kind regards, Hector [1]. Original post: https://medium.com/@HectorPerez/wikipedias-social-network-578b0257b8ae <https://medium.com/@HectorPerez/wikipedias-social-network-578b0257b8ae>
Nice idea! I've copied in the DBpedia list, as this would be of interest to that community also. I passed your Medium post through our Linked Data Middleware service en route to demonstrating what might complement your ultimate goal. Here are the results: [1] http://linkeddata.uriburner.com/about/html/https/medium.com/@HectorPerez/wikipedias-social-network-578b0257b8ae#.bvs2iko2w <http://linkeddata.uriburner.com/about/html/https/medium.com/@HectorPerez/wikipedias-social-network-578b0257b8ae#.bvs2iko2w> [2] http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fabout%2Fid%2Fentity%2Fhttps%2Fmedium.com%2F@HectorPerez%2Fwikipedias-social-network-578b0257b8ae&distinct=1 <http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fabout%2Fid%2Fentity%2Fhttps%2Fmedium.com%2F@HectorPerez%2Fwikipedias-social-network-578b0257b8ae&distinct=1> Fundamentally, what you see is the effect of loosely-coupled NLP, AI, and Machine Learning oriented services that collectively contribute to a final Linked Open Data graph that represents a variety of entity relationships and entity relationship types :) -- Regards, Kingsley Idehen Founder & CEO OpenLink Software (Home Page: http://www.openlinksw.com) Weblogs (Blogs): Legacy Blog: http://www.openlinksw.com/blog/~kidehen/ <http://www.openlinksw.com/blog/%7Ekidehen/> Blogspot Blog: http://kidehen.blogspot.com Medium Blog: https://medium.com/@kidehen Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ <https://www.pinterest.com/kidehen/> Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen <https://www.quora.com/profile/Kingsley-Uyi-Idehen> Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about <https://plus.google.com/+KingsleyIdehen/about> LinkedIn: http://www.linkedin.com/in/kidehen <http://www.linkedin.com/in/kidehen> Web Identities (WebID): Personal: http://kingsley.idehen.net/dataspace/person/kidehen#this <http://kingsley.idehen.net/dataspace/person/kidehen#this> : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this <http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this> _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata> _______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wikidata <https://lists.wikimedia.org/mailman/listinfo/wikidata>
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Hi Kingsley
To make the connection of your review with the corresponding wikidata item, you first have to create the item for this song in wikidata, so:
1) Go to https://www.wikidata.org/ 2) Press "Create a new item" in left sidebar under wikidata logo 3) Enter "Label" = "Charity" and description , it could be something like "GLITCH56 song" 4) Press "Create" button 5) Start adding "Statements". You can follow as an example a similar item like this song https://www.wikidata.org/wiki/Q380825 6) Add the statement for the review: "lib.reviews ID" = ac478596-e571-4891-b882-5508aea9d9bf
greetings
2017-01-23 13:29 GMT+01:00 Kingsley Idehen kidehen@openlinksw.com:
On 1/21/17 12:42 PM, Quico Prol wrote:
Maybe you would like to take a look to https://lib.reviews a wiki for reviewing all kind of things using wikidata items
Given the document at: https://lib.reviews/review/ac478596-e571-4891-b882- 5508aea9d9bf
How do I make the connection with what you state above re. wikidata items?
Kingsley
2017-01-05 20:39 GMT+01:00 Hector Perez hi@hectorperezarenas.com:
Kingsley, thanks for sending it to DBpedia's list too.
I'll have a look at your Linked Data Middleware!
On Wed, Jan 4, 2017 at 8:36 PM, Kingsley Idehen kidehen@openlinksw.com wrote:
On 1/4/17 3:34 AM, Hector Perez wrote:
To sum up, we think that a social network that challenges what you post and organises who agrees on what and why would complement Wikipedia and the traditional story telling. What do you think? Would you like to join us? Should this project be non-profit or for-profit? Would you donate or help us to fund raise?
Kind regards,
Hector
[1]. Original post: https://medium.com/@HectorPere z/wikipedias-social-network-578b0257b8ae
Nice idea! I've copied in the DBpedia list, as this would be of interest to that community also.
I passed your Medium post through our Linked Data Middleware service en route to demonstrating what might complement your ultimate goal. Here are the results:
[1] http://linkeddata.uriburner.com/about/html/https/medium.com/ @HectorPerez/wikipedias-social-network-578b0257b8ae#.bvs2iko2w
[2] http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Fl inkeddata.uriburner.com%2Fabout%2Fid%2Fentity%2Fhttps%2Fmedi um.com%2F@HectorPerez%2Fwikipedias-social-network-578b0257b8 ae&distinct=1
Fundamentally, what you see is the effect of loosely-coupled NLP, AI, and Machine Learning oriented services that collectively contribute to a final Linked Open Data graph that represents a variety of entity relationships and entity relationship types :)
-- Regards,
Kingsley Idehen Founder & CEO OpenLink Software (Home Page: http://www.openlinksw.com)
Weblogs (Blogs): Legacy Blog: http://www.openlinksw.com/blog/~kidehen/ Blogspot Blog: http://kidehen.blogspot.com Medium Blog: https://medium.com/@kidehen
Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about LinkedIn: http://www.linkedin.com/in/kidehen
Web Identities (WebID): Personal: http://kingsley.idehen.net/dataspace/person/kidehen#this : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
_______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/ma ilman/listinfo/wikidata
_______________________________________________ Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/ma ilman/listinfo/wikidata
Wikidata mailing listWikidata@lists.wikimedia.orghttps://lists.wikimedia.org/mailman/listinfo/wikidata
-- Regards,
Kingsley Idehen Founder & CEO OpenLink Software (Home Page: http://www.openlinksw.com)
Weblogs (Blogs): Legacy Blog: http://www.openlinksw.com/blog/~kidehen/ Blogspot Blog: http://kidehen.blogspot.com Medium Blog: https://medium.com/@kidehen
Profile Pages: Pinterest: https://www.pinterest.com/kidehen/ Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen Twitter: https://twitter.com/kidehen Google+: https://plus.google.com/+KingsleyIdehen/about LinkedIn: http://www.linkedin.com/in/kidehen
Web Identities (WebID): Personal: http://kingsley.idehen.net/dataspace/person/kidehen#this : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this
Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata