Key Contributions
Lifecycle Framework for Disinformation Campaigns
Donovan presents a five-stage model for analyzing how disinformation spreads:
- Planning: Where and by whom is the campaign designed?
- Seeding: Who distributes it across social platforms and the web?
- Amplification: When and why do mainstream figures take it up? (The most critical stage — most false claims remain marginal unless amplified by influential accounts)
- Mitigation: How do fact-checkers, institutions, and platforms respond?
- Adaptation: How do manipulators modify tactics in response to pushback?
The framework emphasizes asking "when is disinformation not just what is disinformation" — the critical question is amplification magnitude, not existence.
Case Study: COVID Lab-Leak Disinformation
A detailed examination of a coordinated campaign to spread false claims about COVID-19's origins:
Origin: G News (funded by exiled Chinese billionaire Guo Wengui and Steve Bannon) published claims in February 2020 claiming COVID came from the Wuhan P4 lab.
Weaponization: Bannon connected with Li-Meng Yan, a Hong Kong virologist, presenting her as a "whistleblower" silenced by the CCP. Yan published a paper on Zenodo titled "Unusual features of the SARS-CoV-2 genome suggesting sophisticated laboratory modification rather than Natural Evolution" — exploiting the appearance of academic authority.
The "cloak science" tactic: By posting to a preprint archive (Zenodo) without peer review, disinformers bypassed editorial scrutiny while using academic infrastructure for legitimacy. The paper received over one million downloads despite being flagged as scientifically unsound.
Amplification: Right-wing media including Tucker Carlson and Trump advisor Peter Navarro amplified the narrative, claiming Yan was "muzzled" first by China, then by American "Big Tech censorship."
Institutional response: Johns Hopkins published a report identifying plagiarized graphs in Yan's paper. Zenodo initially resisted labeling it, claiming neutrality. Only after Washington Post reporter Craig Timberg published a debunking did Zenodo add a "potentially misleading contents" label. Timberg's investigation revealed Yan may have been an unwitting participant in Bannon's campaign.
Real-world harm: The false lab-leak narrative contributed to a 107% surge in anti-Asian hate crimes in California, illustrating the link between disinformation and violence.
Investigation Tools and Techniques
Jane demonstrates practical methods for journalists monitoring online disinformation:
Twitter Advanced Search: Using operators to construct precise searches (spelling variants, keywords, emojis, dates, media type). Example: (I witnessed | I heard) [location] [event terms] to find eyewitness accounts.
Invid WeVerify plugin: Free tool requiring manual vetting. Features Twitter SNA (Social Network Analysis) — showing conversation peaks, most-retweeted vs. most-active users during events, downloadable CSVs of tweets.
Google Advanced Search: site: and filetype: operators to search government/corporate websites and social media that resist direct search (Facebook groups, Telegram channels).
Telegram research: TG Stat for tracking channel growth; searching local Facebook groups for Telegram invites to locate hyper-local disinformation communities.
Key principle: Understanding the broader information environment is essential. A false claim is powerless unless amplified through coordinated networks. Journalists must monitor cross-platform flows — information often originates on fringe sites (4chan, Telegram, specialized forums) before reaching mainstream media via Twitter or Facebook.
Platform Accountability
Platforms enable manipulation by design. Zenodo's initial refusal to adjudicate scientific quality — claiming neutrality — allowed disinformation to circulate unchallenged. Similarly, Facebook's architecture enabled Cambridge Analytica's data misuse without Facebook violating stated policies.
Donovan calls for journalists and academics to hold platforms and their leaders accountable by documenting how design choices (algorithms, content moderation policies, verification systems) aid disinformation actors.
Notes
This practitioner-focused talk bridges academic research (via mediammanipulation.org) with hands-on journalist methodology. The COVID case study is particularly instructive: academic infrastructure (preprint archives) can be weaponized, strategic narrative framing drives amplification, and institutional response (debunking, labeling) eventually slows but doesn't immediately stop spread. The tools demonstrated are free or low-cost and emphasize platform-independent monitoring as essential to early campaign detection. The implicit argument is that journalism — coupled with academic rigor — is uniquely positioned to hold platforms and political actors accountable in an era of coordinated disinformation.