1. Emotion Sells: Rage Bait vs. Information Bait in Clickbait News Headlines on Social Media

Author: J. Shin, C. DeFelice & S. Kim Year: 2025 Type: Academic article Publisher: Digital Journalism URL: https://www.researchgate.net/publication/392038337

What this source contributes

Empirical study comparing rage-bait headlines, designed to provoke outrage, against information-bait headlines, designed to signal informational value. Finds that rage-bait headlines generate significantly higher engagement regardless of the content’s underlying accuracy, and that the mechanism operates at the level of the headline itself.

Corroborates the Brady (2017) and Rathje (2021) primaries by extending the pattern from social posts to professional news headline design. Cited inline in Friction as the headline-level confirmation of the engagement mechanism.

  • Ragebaiting — the mechanism confirmed at headline level
  • Clickbait — the information-bait comparison that isolates what rage adds

2. The Oxford Word of the Year 2025 is rage bait

Author: editorial Year: 2025 Type: Reference / lexicographic Publisher: Oxford University Press URL: https://corp.oup.com/news/the-oxford-word-of-the-year-2025-is-rage-bait/

What this source contributes

Oxford’s selection of “rage bait” as Word of the Year 2025 marks the point at which the practice became widely named and recognised outside specialist and journalistic circles. Used in Origin as the naming milestone.

  • Ragebaiting — the moment the practice acquired a public name

3. Influencers maken onze emoties tot hun handelswaar. Aandacht is het doel

Author: Bas Heijne Year: 2026 Type: Journalism / essay Publisher: NRC URL: https://www.nrc.nl/nieuws/2026/07/10/influencers-maken-onze-emoties-tot-hun-handelswaar-aandacht-is-het-doel-a4931991

What this source contributes

Introduces the concept of ego-kapitalisme: a platform creator economy in which emotions, including negative ones, are commodities, and the provocation is the product rather than what it wraps. Uses Braden Peters (Clavicular) as a case study for how ridicule generates the same engagement signal as admiration.

Used in Friction to scale the mechanism from individual creators to a structural business logic.

  • Ragebaiting — the provocation as the product rather than as a means to it

4. De populaire Dutch Travel Maniac reist in zijn vlogs voornamelijk naar een wereld van extreemrechts gedachtegoed

Author: R. van de Griend & W. Pottjewijd Year: 2026 Type: Investigative journalism Publisher: De Volkskrant URL: https://www.volkskrant.nl/binnenland/de-populaire-dutch-travel-maniac-reist-in-zijn-vlogs-voornamelijk-naar-een-wereld-van-extreemrechts-gedachtegoed~b31208e1/

What this source contributes

Documents how Dutch “decline porn” vloggers, producing outrage content about European urban decay, were amplified by Russian bot farms. Contains a quote from Guda van Noort (UvA) on the perverse incentive structure.

Used in Friction to show ragebaiting operating as a disinformation vehicle at geopolitical scale.


5. Polarisatie als verdienmodel: Hoe sociale media-netwerken geld verdienen aan woede

Author: Stichting Justice for Prosperity Year: 2026 Type: OSINT investigation Publisher: Justice for Prosperity, Amsterdam URL: https://justiceforprosperity.org

What this source contributes

OSINT investigation of a network of 251 Dutch-facing Facebook pages, covering 15,526 posts and 353,913 reactions in one sampled week, with 85% managed at least partly from abroad and disproportionately from Vietnam. Documents ragebaiting as a purely commercial revenue model: fabricated AI-generated outrage about migrants and politicians, a “lees verder in de reacties” link routing readers to ad-filled sites, and the most polarising posts drawing roughly three times the reactions of neutral ones, extrapolated to around four million angry-emoji reactions a year.

The report cites the same Brady et al. (2017) finding used as this entry’s primary source, along with Rathje, Van Bavel & Van der Linden (2021) on out-group animosity and Luzsa & Mayr (2021) on the false consensus effect.

Used in Friction to establish ragebaiting with no ideological or state actor behind it, where outrage is produced only for the ad margin.

  • Ragebaiting — the revenue model stripped of any ideological motive

6. Twee jonge Groningers verdienen geld door zoveel mogelijk mensen boos te maken met nepnieuws

Author: I. Pronk Year: 2026 Type: Journalism Publisher: Trouw

What this source contributes

Reports the Justice for Prosperity findings and localises them to the Groningen-based Nueva Media Network, run by two young people, operating at least 21 Facebook pages with more than 620,000 followers on roughly ten AI-generated posts a day. Records the operators’ deflecting response (“het is nadrukkelijk niet ons doel om maatschappelijke tegenstellingen te vergroten”) and Peter Burger’s framing, from Universiteit Leiden and Nieuwscheckers, of the work as quantifying commercially motivated hate production.

Used in Friction as the concrete Dutch node of the revenue model.

  • Ragebaiting — the revenue model with named operators rather than anonymous networks

7. Pulpnieuwsproducenten verspreiden nepnieuws over homofobe incidenten met Rob Jetten

Author: Y. Neurink Year: 2026 Type: Factcheck Publisher: Nieuwscheckers (Universiteit Leiden) URL: https://nieuwscheckers.nl/pulpnieuwsproducenten-verspreiden-nepnieuws-over-homofobe-incidenten-met-rob-jetten/

What this source contributes

Factcheck documenting a Vietnamese pulp news page (Nieuws Vandaag NL, managed from Vietnam and Brazil) fabricating homophobic television incidents involving prime minister Rob Jetten to drive traffic to ad-filled sites. Shows the fabrication end of the mechanism: AI-written articles full of factual and language errors, following a reusable template.

Used in Friction as the invented-content extreme of ragebait-for-ad-revenue.

  • Ragebaiting — outrage with no underlying event at all

8. Contagious: Why Things Catch On

Author: Jonah Berger Year: 2013 Type: Popular science book Publisher: Simon & Schuster, New York

What this source contributes

Documents the role of emotional arousal in virality: content triggering high-arousal emotions, anger among them, is shared more than content producing low arousal. Provides the popular science context for the Brady et al. (2017) findings.

  • Ragebaiting — arousal rather than valence as the driver of sharing

9. Rage-baiting — Wikipedia

Author: Wikipedia community Year: ongoing Type: Encyclopedic reference Publisher: Wikipedia URL: https://en.wikipedia.org/wiki/Rage-baiting

What this source contributes

Terminological and historical overview of the concept.