[Air-L] Call for abstracts: ECREA post-conference on "Digital media and information disorders"

[Anja Bechmann]

Dear all,
Please consider sending abstracts for our ECREA post-conference on Digital media and information disorders with an extended deadline on 15 June 2022 and do not hesitate to forward to any relevant scholars:

Call for papers
ECREA post-conference

Digital media and information disorders: Theorizing and investigating influence operations, impact and contextual factors

Time: Monday October 24th, 2022 at 10-17
Venue: Building ADA, room 333, IT-City, Aarhus University, Denmark (plus Zoom) -

During the pandemic we have experienced a hitherto unprecedented international focus on digital information disorders such as misinformation, disinformation and conspiracy theories both in policies and scientific contributions across research fields. With among others Lazarsfeld and Merton’s (1948) work on propaganda, communication studies has a strong tradition in theorizing and methodologically operationalizing empirical studies on how mediated propaganda affects user behavior and attitudes with central notions such as influentials and opinion leaders. The notion of ‘limited effect’ has sparked renewed heated debate on whether this transfers into weak/no effect or under what limited contextual conditions new forms of digital propaganda might actually have quite powerful effects. Digital media does not provide the same mediated versus unmediated life and instead collapse in onlife that provide new theoretical and empirical contexts for effect and influence studies. Recent studies on digital social media influence have pointed to contextual (e.g. platform) factors to be central for the operationalization of communication-style influence (Malhotra & Galletta, 2003; Gruzd & Wellmann, 2014; Goggin & Petakovic, 2014) measured on different levels as network visibility, in and outgroup social cues, rhetorical and emotional persuasion, and inauthentic behavior such as strategic communication overload, flagging and boosting from e.g. bots, sock puppets, junk news and click farms (Bastos & Mercea, 2019; Howard, 2020). This post-conference invites scholars from around the world to bring forward research focusing on theories and/or empirical studies on digital information disorders e.g., its complex conceptual and contested nature, its contextual factors and associated influence operations, effects and impacts and potential prevention strategies such as digital literacy, fact checking operations and other counter propaganda strategies. We welcome contributions from a variety of topics such as covid-19, Russian-Ukrainian war, climate change, anti vaxxer social movements etc. The post-conference will furthermore focus on nations and regions as contextual factors.

Open call for abstracts:We invite abstracts of max 500 words together with a short author bio of max 100 words. Max capacity: 30 participants. Extended deadline for abstracts is June 15, 2022 to Jessica G. Walter at jewalter at cc.au.dk (subject field please write "ecrea post-conference"). Notification of acceptance: July 1, 2022.

Organizer: DATALAB - Center for digital social research, Aarhus University

Funding: EDMO, SHAPE, and NORDIS (EU CEF)


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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