A proper public interface to consume media. A user-controlled access point to browse through the media articles at least somewhat back in time would allow to improve the memory of the "public" and keep main actors in focus. Particular readings could themselves be shareable on the web.
For this we need:
Since a lot of complicated government and other public projects that are funded with public money and run over many years that affect our living environment, economy and culture need (silent) approval of the people, media is a very important medium for shaping public opinion and (dis)approval. In a post-truth world we need to provide people with proper tools and objective data-sets to analyze public debates in media and other public sources over long period of time. Each individual (incl. journalists and NGO representatives) should have the possibility to get the "big picture" based on his/her own interest in the topic (selected aspects/involved politicians and organizations etc) and to monitor the evolution of political decision making. Transparency, open data and access to relevant info-sources with easy to use analysis tools can help people to make up their own minds and to find their own objective truth without being influenced by short-sited, emotional, populistic and non-objective public statements and campaigns.
Define the basic requirements for high-quality database
An independent monitoring solution to track changes in online news stories/websites. A remedy against "rewriting history", enhances journalist/publisher accountability.
I've been thinking about the creation of an add-on that would allow one to use Google through someone else's filter bubble.
An idea for the datastory/data visualization track:
People care about genuine truth and solving problems. I'm picturing a news aggregator app which does these things
Articles have a rating system: (a) AI rates the truth of arguments in the articles based on their logical structure and then, (b) AI qualifies factual statements when it can
User comment threads are ESSENTIAL to the community: (a) Users who comment can build profiles based on the quality of their responses AND their responses are like 1 - checked and rated based on quality of reply in terms of logical structure and factual statements are qualified. (b) Users would "learn" over time how to formulate replies to news in logically sound ways and therefore their statements would up their profile. This would "verify" them. Comments can be upvoted like reddit.
1&2 work together. The rating system evolves as more and more people comment. If users who have themselves high rating generally approve the story this adds another dimension to the story. There will be aspects of the human experience that AI can never quantify effectively. Users who contribute in this way expand the metric for how truth is calculated.
My thinking for this is generally like IMDB rating-system for movies. There is a huge incentive for news organizations to contribute to the growth of this as it further validates their own stories the higher a rating each piece can get. I could see BBC or CNN highlighting the aggregator's rating next to the title of their story. Any story without the rating might eventually be considered suspect.
Better journalism. The essence of post-truth lies in the willingness of the reader to believe anything. It has been the weakening of professional standards that has delivered uninformed readers to propaganda and conspiracy sites.
The solution is not just technical: a reader willing to believe anything won't care whether an app guarantees or not the accuracy of a story. We need to develop tools to help journalists do their job better, and pressure them to do so. In essence, meaningful reporting about the problems of regular people. Only then, people develop a sense of ownership of the truth, and demand quality information.
Personally I think post-truth is a misleading terminology if you want to achieve a more reality aware society. I would describe the problem more as trust crisis, where large part of the population have been paralyzed in a way that they are unable to successfully trust any entities to gain information about geopolitical and local political situations. Main reasons being overflow of information, polarisation of media and politics where it's more about taking sides and less about discussion, and lack of tools for meaningful discussion.
Most importantly, there isn't a competitve feedback loop for rationalistic thinking that could compete with the feedback loops in the media and internet that increase polarisation and enhanced emotions.
I would like to find ways to make a platform that A) Has an inherit feedback loop to move discussion to be more rational and objective. B) Enables people to have control to make successful trusts for information filtering. C) Has mechanism for meaningful, interesting and unique views to rise to the surface and not be suffocated by a ocean of monotonous shouting.
Some ideas to achieve that A) Increasing variaty of feedback which could be easily processed by computer. Currently we only have like/dislike/subscribe/share and some emotes in facebook (emotes are useless in political discussion). Variaty could include interesting/question/statement witha logical flaw/feedback to a source/counter argument @ argument/solid argument/opinion/insult/trolling/expression of emotions (you can list them all). B) Since giving feedback about articles/content in general/comments can be subjective, wrong or intentionally disruptive, there has to be a mechanism where users can control who they trust, how much they trust, for what they trust. C) Based on the previous 2 functions computer can use feedback from other users to save time and effort of current user when going through all the information. D) From there on it is easy to create a lense feature, where you view all the feedback and filtering through someone elses trust-web. For example a content creator, journalist, activist, or a politician.
Scenario 1, I have 4 friends I trust and we read the same media outlet, I wonder if one of the sources for an article at hand is legit, one of the comments has already been marked as feedback to that source by 1 of my friends, but he hasn't evaluated the quality of that feedback. I can now read through the feedback and check who else has confirmed or denied that feedback and the reasoning behind that. Just in case I check some of the reasoning and add a few strangers to my trust list but with a lower weight that my 4 friends, hoping that will prove useful in the long run. Finally confirm that feedback to the source since I went through all that trouble.
Scenario 2, I am lazy and I haven't built a proper web of trust, but I switch my lenses back and fourth between 2 journalist who I know have a drastically different view on the world and hope to get a balanced, but still meaningful and filtered picture of the world.
*visualise transportation routes on maps maps better (Tallinn, Tartu, Helsinki etc)
My goal is to develop a new product labelling system providing the information about the resource footprint and life cycle cost of the products. This information is needed for making informed purchasing choices in our everyday life for reducing the environmental impact of our consumption. Making better choices is possible only when there is enough information available about the products. Product information is traditionally provided using the labels attached to products and sometimes in leaflets or booklets added to the product. The existing labelling was developed in 20th century during the rise of consumer society and is not providing the sufficient information in the era of global production and consumption. Our product labels today are providing the information about the country of final assembly/production and in some cases about the main materials used in the production. Existing labels do not give us the information about the origin of the materials used in the production, energy usage, water usage, environmental impact or if the workers are treated fairly. Environmental and social responsibility in production process can support the sustainability of the production but is not visible on existing product labels. Some producers are cutting the corners of production process to lower the cost of the production and this can increase the negative impacts of the production. The consumers can 'decide with their wallets' but only if enough information is available. Updating the product labelling system can offer the missing pieces of the puzzle for understanding the true impact of our consumption and making better consumption choices in the future.
I am a Master's student of EU-Russia Studies at UT. I hold a BA in Political Science and have been working for several years as freelance journalist for German media.
Social scientist. 1. Search truth
Hey, I am a student of computer science and human-computer interaction from Berlin staying until summer in Estonia. I am an activist focusing on open data and civic tech. I have a broad skillset but by main focus are Frontend development and Data Visualization.
Email: email@example.com, LinkedIn profile: https://www.linkedin.com/in/nvitucci/
I have been working as a data scientist, data manager and backend developer for more than 4 years. I am passionate about extracting knowledge from raw data and about linking diverse information sources. I am curious about Estonian Open Data, so I will offer my experience as a data manager to extract, clean, transform, link and analyze data for any team with an interesting idea.
I am a student of study program Information Technology Law at the University of Tartu, practising lawyer and data protection officer at the law firm "Skopina & Azanda" in Riga, Latvia. My main fields of interest are media law, data protection and intellectual property. We can raise awareness in the society and among professional journalists, learn to distinct truth from post-truth ourselves and teach others.
I would like to join a team on proffering a suitable solution to a known problem area. The world needs more clarity to make more specific judgement. My skill set in Project management and Data Analytics would be of great benefit to any team I would be joining
I am a journalist interested in post truth issues.
Tel: 556 43 657
Team ERR Multimeedia
I am a Brainstormer and a Business Process Specialist. I also a very good devil's advocate. I believe a lot in data transparency. I have a Consumer Behavior Sciences Bachelor’s degree from Université Laval.
I worked in a Business Process Outsourcing company in Łódź, Poland, in an account payable team. I help to smooth the transition of the department from Canada to Poland. It is where I grew my passion for business processes.
I also worked in Canada in Continuous Improvement. I also had the role of Business Analyst for SharePoint and Dynamics CRM.
digital humanities, texts and culture in time
I dream about the good energy, cities, products and people
Journalist with main interests in the fields of science, society and politics.
Academic background in humanities and social sciences. Currently working in a software company. Interested in digital humanities and media.
+372 5673 4951
I have no specific idea yet, but I would love to join and discover more possibilities!
Greete Palmiste, journalist, firstname.lastname@example.org
I'm an online-journalist, who for the last year or so has concentrated on multimedia stories. I believe that there is lack of coherent information and that we could easily change that. One way to do that is to give journalists better tools and know-hot to tell stories that cover more than one event and explains the bigger picture. In and information-overwhelmed world, we need more in-depth storytelling and explanatory stories. And, of course, thinking in categories and mediums that is closest to our audience.
Quantitative economics master's student who thinks that appropriate data analyzed in a proper way can solve real-world problems. I can work with data in order to distinguish junk information, using maths and machine learning create natural language processing models and do all sort of different magic. I can do descriptive statistics and visualization, frequent itemsets mining and build a model depending on the data type. Why? In order to find interesting causalities and rules, which will help to think up a solution for a certain problem.
I am so cool you can't even imagine
have been dealing with facts/data from Wikipedia/Wikidata side
Journalist focused on Russia for the last 10 years. As such, I saw and confronted the first wave of weaponized information that would eventually bring about the now nascent era of post-truth. That eventually led me to enroll in Tartu and study philosophy, which is what I'm currently doing.
Im a 25 year old colombian who has lived in Tartu for the past three years. Im passionate about UI and how it is affected by lies and truth on the internet. Im eager to discuss it.
I'm a second-year master student in Semiotics. My thesis topic it is related to the role of Media in shaping Cultural Memory. Before coming to Tartu I worked as a 'trend-hunter' in Mexico City. That is, for a consulting agency specialized in consumer trends and innovation. We worked with consumer data to create strategies focused on communication and innovation.
I found interesting working with data, so myself I passed two online courses that are related to data analysis in R. In the university I developed my knowledge as here we obligatory study Scientific Python and R programming that gives me opportunity to study in deeper. 1,5 years I was a part of huge student organization and was leading a brand new project at the moment that was quite successful. I have teamleading, teambuilding and "just come down and work" skills. I don't have my own idea but it would be great helping somebody develop his or hers. I do want to work with data, build market models, analyse data, make market research or just manage it.
Olen kuulanud palju Andmeanalüüsiga seotud Coursera loenguid. Teinud R keeles erinevaid kursusi andmete kogumiseks ja analüüsimiseks. Soovin saada kokku inimestega, kes tegelevad andmeanalüüsi iga päev ja saada neil nõuandeid ning kogemusi, kuidas neid praktilises igapäevatöös kasutada
I am a design researcher deeply curious about how and why people do the things they do. I want to create a more open, entrepreneurial and sustainable world. I want to offer my experiences and skills to someone elses intriguing challenge. I also think that this will be an amazing learning experience and I want to see what and how people in the Baltics are thinking about these complex chalenges.
Computer science student, programming hobbyist, rather frustrated with the state of news media.
Volha has background in international law, human rights, public policy, democracy, and civil society development in Eastern Europe. After graduating BB.L in international law, LL.M in human rights and two professional one-year courses on European Integration and foreign affairs, she worked for the International Republican Institute (IRI). Volha was the Konrad Adenauer Public Policy Research Fellow in 2016 and prepared the policy brief about the impact of fact-checking initiatives in Eastern Europe.
I deal with data on a daily basis and I love it.
journalist & citizen journalist
I am a fun clever little data scientist that studies IT
I am studying philosophy in Turin and I am here as an erasmus student. In the same time I founded a video production no profit society to create spot videoclip and short movie.
Wikipedian and digital education specialist at University of Tartu
a legal hacker looking for truth
Bachelor in Political science. Studying for master degree in sociology. From Ukraine. I want to share my Ukrainian experience, because my country suffering from fake news, desinformation etc... I know a lot about Ukrainian fact checking and OSINT projects.
I'm a Computer Science student in the University of Tartu. I can apply my knowledges in sphere of the data analysis for solving post-truth problems.
Its all about communication!
Post profile netizen into deep politics. We need to stand up and step back the post world truth disorder!
Economic analyst and local politician. Will join some outstanding team, I hope.
Senior researcher of semiotics, Tartu University, Institute of Philosophy and Semiotics, Department of Semiotics email@example.com
His main research interest are related with political semiotics and power relation in online communication. At the moment he works on the topics of semiotic approach on conspiracy theories, rumours and fake news in online communication.
Georgia is a data visualisation designer and news room developer. She has worked on numerous data related projects as part of the Helsingin Sanomat data desk team and independently. She is active in the civic tech and media innovation community.
Taivo is a data scientist and blogger. He is currently finishing a Master’s in Computer Science at ETH Zürich, has worked with data at Skype and TransferWise, and published several independent projects. His blog focuses on analysing data, himself, daily life and many other things.
Before joining the investigative newspaper Eesti Ekspress Marian was an online data journalist for the daily Postimees. She has taken several courses on data journalism in Europe and in the United States. The beginning of this year Marian was awarded with the Bonnier Award, the most prestigious journalism award in Estonia.
Kristel has a long experience with quantitative language data analysis, natural language processing and linguistic research and is currently working on text mining applications for humanities and social sciences. With diverse expertise in language corpora compilation, development, and processing she has been involved in various linguistic and language technology projects at Appen and University of Tartu. Primary interestes: unstructured data, textual data processing, quantitative linguistics, linguistic data visualization.
Kadri is in charge of the daily life of the Center of Estonian Language Resources and national coordinator of Estonia on national coordiantor's forum CLARIN. In short, Kadri helps to make Estonian language digital resources and language technology tools available to all the scientists working on the field of linguistics, but humanities in general, so as to make their lives easier and more fun.
Anto is an infosec evangelist working at Estonian State Information Systems Authority for last 8 years. Due to the fact he has been born "to the Computer Center" he likes to claim he is one of the first Digital Natives in Estonia. His current interests are located inbetween the cyber security and society. Anto has published numerous awareness raising articles on infosec related topics. One will probably fail to find an e-related topic he has not expressed an opinion on yet.
Henrik is publisher of Geenius.ee, Estonia’s leading tech news website. Prior to that, he was the founder and long time editor in chief of the tech monthly magazine Digi. He is also the host of Digitund, a weekly radio show/podcast about tech and Restart, a weekly show on IT business on startups.
Vaido has 7 years of experience from manufacturing industry on mid-management level, plus another 7 years from business development by incubating, accelerating, boosting, mentoring (or whatever the current buzz word is) startups and student teams. He also happens to be a talking-machine who has given speeches about giving speeches and more. For more than 20 years he has been a fan of strategy games.
Helen has been trying to find right balance between entrepreneurship and tackling social issues starting from 2009 when she started an art gallery for young artists. Having aslo taken the paths of working for large companies and doing voluntary work, in the beginning of 2016 Helen created her own life style brand Slow, which sells clothes and commodities from only fair and sustainable production sources. Being a socially responsible entrepreneur means giving priority to awareness building on social and environmental issues stemming from mass consumption practises.
Dr. Peep Küngas is software product development practitioner with 20 years of academic work experience. He is currently responsible at Register OÜ for development of linked data platform product and its applications. One of the challenges in the past year has been Inforegister NOW! (http://ir.ee/lahendused/now) mobile app where open data is combined with proprietary data to support decision-making in B2B sales process. NOW! notifies sales reps, credit managers and business owners of mission-critical business events related to existing and future customers. The major challenge in the product has been telling the stories behind the events with data and analytics in such a way that decisions can be made effectively and efficiently. Peep comes to share his knowledge.