Re: [Wikidata] Election data
I'm also interested in improving voting records. On agreelist.org we are creating a database of who does and who does not support issues such as basic income, carbon tax, AI risks, etc. (not only politicians though), but one thing is what people say and another one what they vote. On Wed, Mar 14, 2018 at 3:09 PM, Tony Bowden wrote: > On 12 March 2018 at 23:23, Yuri Astrakhan wrote: > > Something I wish was available is the voting record, at least at a > > country/state level. Knowing the politician's time in office is a great > > start, but how that person voted is what really makes democracy work. > > This is something I've been working on for quite a while: at mySociety > we do this for the UK (e.g. > https://www.theyworkforyou.com/mp/10133/jeremy_corbyn/islington_north), > and we've worked with a lot of groups who want to do something similar > in other countries. But there are a lot of prerequisites to being able > to do this, one of which is simply being able to even get a (well > maintained) list of all the legislators and their parties etc. We got > some funding to accelerate Wikidata having even that level of data > across more countries (you can follow some of that / join in at > https://www.wikidata.org/wiki/Wikidata:WikiProject_every_politician), > but we definitely see that as being only the first step towards being > able to do these much more useful things later. > > It's not clear to me, though, that Wikidata is the correct place to > store this deeper information about voting records. Having items for > all the individual politicians is definitely a good thing — they're > all sufficiently notable. But having items for every bill going > through every legislature seems like more of a stretch. I'd be very > happy to be wrong about that though! > > Tony > > ___ > 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
Re: [Wikidata] Wikiopinion - Structured opinions
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 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 > > ___ Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
Re: [Wikidata] Wikiopinion - Structured opinions
Hi Amit, Thanks for your email. I'll contact you privately. Kind regards, Hector On Jan 4, 2017 9:44 AM, "AMIT KUMAR JAISWAL" 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 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
[Wikidata] Wikiopinion - Structured opinions
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 prope
[Wikidata] Database of all the people who agree/disagree (e.g. Brexit)
Hi, I'm working on a database of all the people who agree/disagree on issues such the proposed referendum on UK membership of the European Union [1]. I think this is outside the scope of Wikidata (if not, let me know!), but I suppose some people might like it. Would anyone like to help? Kind regards, Hector https://www.linkedin.com/in/hectorperezarenas [1] http://www.agreelist.com/brexit ___ Wikidata mailing list Wikidata@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata
