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Docket+ 14 November

Docket+ is a weekly roundup of the latest influence operations-related academic research, events and job opportunities.
Docket+ 14 November
Photo by Chris Lawton / Unsplash

Hi! I'm Victoria and welcome to DisinfoDocket. Docket+ is a weekly roundup of the latest influence operations-related academic research, events and job opportunities.



Highlights:

DISARM Foundation presents their paper: Countering Russian Misinformation, Disinformation, Malinformation and Influence Campaigns in Italy surrounding the Russian invasion of Ukraine
  1. Monetization of social media engagements increases the sharing of false (and other) news but penalization moderates it (OSF Preprints, 10 November)
  2. Countering Violent Extremism Governance and Communications Strategy Paper (USAID, November)
  3. The Problem With Defining “Disinformation” (CEIP, 10 November)
  4. Opaque and Overstretched, Part II: How platforms failed to curb misinformation during the Kenyan 2022 election (Mozilla, November)
Facebook, TikTok, Twitter failed election integrity test in Kenya’s elections (TechCrunch, 11 November)
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Below the paywall, this morning's curation of Academia & Research includes:
* Our usual comprehensive coverage of the latest geographic and thematic influence operations-related research
* A focus on current job opportunites
* Research on COVID-19 disinformation, online harms, political polarization, countermeasures and much more.

1. Academia & Research

1.1 Platforms & Technology

  1. Meta’s Oversight Board: A Review and Critical Assessment (SSRN, 24 October)
  2. Social media platforms and the drop box monitoring ecosystem (ISD, November)
  3. An HCI Research Agenda for Online Science Communication (University of Washington, November)
  4. A systematic review of worldwide causal and correlational evidence on digital media and democracy (Nature, 7 November)
  5. What Makes News Sharable on Social Media? (PsyArXiv, 9 November)
  6. Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter (ArXiv, 9 November)
  7. ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation (ArXiv, 9 November)
  8. The Affective Algorithms of Conspiracy TikTok (T&F, 10 November)
  9. An Interpretable Wide and Deep Model for Online Disinformation Detection (SSRN, 9 November)
  10. Detecting Fake News and Disinformation Using Artificial Intelligence and Machine Learning To Avoid Supply Chain Disruptions (SSRN, 10 November)
  11. Twitter and Elon Musk: why free speech absolutism threatens human rights (LSE, 11 November)
  12. Identity effects in social media (Nature, 10 November)

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