[Air-L] OPEN POSITIONS: Two postdoc positions in computational analysis of social media in Denmark

[Anja Bechmann]

Dear colleagues,

Come work with us - We have two new postdoc positions available at our Center at Aarhus University in Denmark – application deadline is 20 June 2022 23:59 CEST:

Two postdoc positions in computational analysis of social media and collective behaviour

DATALAB – Center for Digital Social Research at the Department of Media and Journalism Studies within the School of Communication and Culture at Aarhus University invites applications for two postdoctoral positions in computational analysis of social media communication and collective behaviour. The first postdoc position is affiliated with the research project NORDIS funded by the EU Connecting Europe Facility (CEF), and the second postdoc position is affiliated with SHAPE - Shaping Digital Democracy funded by Aarhus University.

Postdoc profiles
We are looking for applicants who have growth mindsets and documented experience in computational analysis of human data (preferably social media, but this is not a requirement) with the purpose of investigating human collective behaviour. Furthermore, we are ideally looking for applicants who have advanced skills in Python and classifiers from related fields and at least documented experience with Python and applied machine learning (preferably deep learning and/or NLP models such as BERT or LDA). Experience with API data collection, hidden Markov models (or other change point detection models for postdoc 2), network and time series analysis is not a requirement but would be positively evaluated.

The successful applicant will be expected to co-author (with other DATALAB researchers) at least two highly ranked journal articles, one as first author, in the areas of detecting and analysing reactions to fact-checked disinformation on the Ukrainian war in selected EU countries, detecting and analysing super spreaders and potential influence operations across the Nordic countries, the EU and the US (postdoc 1), as well as change point detection and other dynamics of civic collective behaviour on social media (postdoc 2).

The successful applicants will be working within an interdisciplinary group of researchers from other fields such as media, information and communication studies, cognitive semiotics, neuroscience and sociology, and your main tasks will be to write articles, process data (in a distributed setting using high-performance computing), qualify the choice of and advance the mathematical models (for example machine learning) and apply relevant statistical analysis. In NORDIS, the successful applicant will also be working in a consortium and network of universities at Nordic and EU level with researchers from various disciplines including computer science, cognitive science, physics and journalism, and in SHAPE, the applicant will be working in a cross-university, interdisciplinary setting with a view towards international research networks.

Please see the full call and apply here: https://cc.au.dk/en/news-and-events/career-opportunities/job/two-postdoc-positions-in-computational-analysis-of-social-media-and-collective-behaviour

Do not hesitate to contact me should you have any questions regarding the positions and please forward to any relevant candidates.



Sincerely,
Anja Bechmann
Professor & Director of DATALAB
PI, NORDIS<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.datalab.au.dk_nordis&d=DwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=04qUGdVh8-_rvv3P06qD8Nl-jqf-yZ2ijMn6f4OFffA&m=MwRZ074uKF2i-gr0BxInMuJUUiHqgKEUcRIlx2nytQ4QwHfSMn_EzAjvBf1Q7SV-&s=NtIkscwK4KujrSg-ae1jZbSxdopQjYH5_yQoYmzltPo&e=>
Mobile: (+45) 51335138



DATALAB, Center for Digital Social Research<https://datalab.au.dk/>
Aarhus University
Helsingforsgade 14, ICT-City, 8200 Aarhus N, Denmark

New publications:
Nissen, I.A, Walter, J.G., Charquero-Ballester, M & Bechmann, A. 2022. Digital Infrastructures of COVID-19 Misinformation: a new conceptual and analytical perspective on fact-checking<https://www-tandfonline-com.ez.statsbiblioteket.dk:12048/doi/full/10.1080/21670811.2022.2026795>, Digital Journalism
Kim, J.Y., Fusaroli, R., Park, H.W. & Bechmann. 2021. Systemic Gendering in Facebook Group Participation<https://doi.org/10.1177/20563051211064906>, Social Media + Society.
Bechmann, A. 2021. DATA,<https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Funipress.dk%2Fudgivelser%2Fd%2Fdata%2F&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085321560%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=KEnM0%2F9gnhYETlq%2FSfJtrm53WvHTHEi1RD3LvKj2mpM%3D&reserved=0> 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://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cambridge.org%2Fcore%2Fjournals%2Famerican-political-science-review%2Farticle%2Fabs%2Fpartisan-polarization-is-the-primary-psychological-motivation-behind-political-fake-news-sharing-on-twitter%2F3F7D2098CD87AE5501F7AD4A7FA83602&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085321560%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=A1OyknEM9vXW2LfDaM2GTvnU14fI4I5d2q04U7Ma6p4%3D&reserved=0>, American Political Science Review.
Bechmann, A. 2020. Tackling Disinformation and Infodemics Demands Media Policy Changes<https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.tandfonline.com%2Feprint%2F3AFQGNYRV8AFUE5ZMHUT%2Ffull%3Ftarget%3D10.1080%2F21670811.2020.1773887&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085321560%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=SCbicATW0D31wxhfM%2FZyZcGBlMBt%2Frd%2FPkfC6dgUD4s%3D&reserved=0>, 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<https://eur04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcompact-media.eu%2Fwp-content%2Fuploads%2F2018%2F04%2FPerformance-assessment-of-fact-checking-organizations_A-critical-overiview-Full-Research-1-1.pdf&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085331515%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Tdt4fBBqGGuwj%2Fz6Gre41iAbUaWUEn72j2upWGGv4Xk%3D&reserved=0> 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://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.tandfonline.com%2Fdoi%2Ffull%2F10.1080%2F1369118X.2020.1751866&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085331515%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=9Dc%2ByKgLPA%2FEBDkrU0uJOsqRXl75MaVBLDvU0S7Z6Ts%3D&reserved=0>, Information, Communication & Society, 1-15
Bechmann, A. & Zevenbergen, B. 2020. AI and Machine Learning: Ethical Guidelines<https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Faoir.org%2Freports%2Fethics3.pdf&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085341459%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=CZ4DjgaUzPBO8H0ySTMK1Tr7RodPuamDd5ckxvIjuD8%3D&reserved=0>  IRE 3.0, Association of Internet Researchers.
Bechmann, A. & Kim, J.Y. 2020. Big Data: A Focus on Social Media Research Dilemmas<https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Flink.springer.com%2Freferenceworkentry%2F10.1007%252F978-3-319-76040-7_18-1&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085341459%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=LeUSSOAyWhVXBL%2BxslcKEtrZzmHgyNKZh46ZHKwTDO8%3D&reserved=0>, 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://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.2478%2Fnor-2019-0012&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085341459%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=kfyoHgWlS95slIqeVTh57hJKy9I2HmK3%2BEjxS2Y5A%2B8%3D&reserved=0>, 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://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1177%2F2053951718819569&data=04%7C01%7CN.Helberger%40uva.nl%7C93abf073bf624439f6b008d92c3d12a4%7Ca0f1cacd618c4403b94576fb3d6874e5%7C1%7C1%7C637589463085351427%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=TjX48SuNjO35EWmqsTLtA1EiT6XTr1nHagX%2BPq9o3q0%3D&reserved=0>, Big Data & Society, 6(1).

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