[Air-L] Two-hour online expert workshop "DePlatforming Life"

[Anja Bechmann]

Dear AoIR member,
We are organizing a two-hour online expert workshop as part of an EU H2020 project called Next Generation Internet Forward on June 22, 3 PM-5 PM CET.

This workshop will be titled “DePlatforming Life” and will focus on the role of digital platforms (such as Google and Facebook) in current challenges related to legislation, democracy, privacy, and disinformation.

During the workshop, we will discuss what are the biggest challenges related to the use of digital platforms and propose potential policy solutions to these identified challenges. The workshop will conclude with a couple of lightning talks by leading researchers within the field – Geoffrey Bowker, Professor at the School of Information and Computer Science, University of California at Irvine has already confirmed his presence and more will follow.

Please respond to this email with your name, affiliation, and field of research if you are interested in attending the workshop, and we will send you an email including a Zoom link for the workshop.

On behalf of the organizing team at DATALAB


Sincerely,

Anja Bechmann
Professor & Director of DATALAB


Mobile: (+45) 51335138
Email: anjabechmann at cc.au.dk
Web: www.datalab.au.dk<http://www.datalab.au.dk/>


DATALAB, Center for Digital Social Research
Aarhus University
Helsingforsgade 14, ICT-City
8200 Aarhus N
Denmark

New publications:
Bechmann, A. 2021. DATA,<https://unipress.dk/udgivelser/d/data/> Aarhus University Press.
Osmundsen, M,, Bor, A, Vahlstrup, P.B., Bechmann, A & Petersen, M.B 2021. Partisan Polarization is the primary psychological motivation behind “fake news” sharing on Twitter<https://www.cambridge.org/core/journals/american-political-science-review/article/abs/partisan-polarization-is-the-primary-psychological-motivation-behind-political-fake-news-sharing-on-twitter/3F7D2098CD87AE5501F7AD4A7FA83602>, American Political Science Review.
Bechmann, A. 2020. Tackling Disinformation and Infodemics Demands Media Policy Changes<https://www.tandfonline.com/eprint/3AFQGNYRV8AFUE5ZMHUT/full?target=10.1080/21670811.2020.1773887>, Digital journalism, 1-13.
Pavleska, T, Školkay, A, Zankova, B, Ribeiro, N & Bechmann, A. 2020. Performance analysis of fact-checking organization and initiatives in Europe: a critical overview of online platforms fighting fake news<http://compact-media.eu/wp-content/uploads/2018/04/Performance-assessment-of-fact-checking-organizations_A-critical-overiview-Full-Research-1-1.pdf> IN: Disinformation and Digital Media as a Challenge for Democracy. ed. / Georgios Terzis; Dariusz Kloza; Elzbieta Kuzelewska; Daniel Trottier. Cambridge : Intersentia. (European Integration and Democracy Series, Vol. 6), 217-246.
Henriksen, A & Bechmann, A. 2020. Building truths in AI: Making predictive algorithms doable in healthcare<https://www.tandfonline.com/doi/full/10.1080/1369118X.2020.1751866>, Information, Communication & Society, 1-15
Bechmann, A. & Zevenbergen, B. 2020. AI and Machine Learning: Ethical Guidelines<https://aoir.org/reports/ethics3.pdf>  IRE 3.0, Association of Internet Researchers.
Bechmann, A. & Kim, J.Y. 2020. Big Data: A Focus on Social Media Research Dilemmas<https://link.springer.com/referenceworkentry/10.1007%2F978-3-319-76040-7_18-1>, Handbook of Research Ethics and Scientific Integrity, 427-444
Bechmann, A. 2019. Inequality in posting behavior over time: a study of Danish Facebook users<https://doi.org/10.2478/nor-2019-0012>, Nordicom Review, 40(1).
Bechmann, A. & Bowker, G.C. 2019. Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media<https://doi.org/10.1177/2053951718819569>, Big Data & Society, 6(1).
Bechmann, A. & Nielbo, K. 2018. Are We Exposed to the Same “News” in the News Feed? An empirical analysis of filter bubbles as information similarity for Danish Facebook users<https://doi.org/10.1080/21670811.2018.1510741>, Digital Journalism, 6(8).