Pith. sign in

REVIEW 1 cited by

Mapping Moral Valence of Tweets Following the Killing of George Floyd

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2104.09578 v2 pith:GKEN5K2U submitted 2021-04-19 cs.SI cs.HC

classification cs.SIcs.HC
keywords moralsocialblackmediadiscussionsfloydgeorgekilling
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

The viral video documenting the killing of George Floyd by Minneapolis police officer Derek Chauvin inspired nation-wide protests that brought national attention to widespread racial injustice and biased policing practices towards black communities in the United States. The use of social media by the Black Lives Matter movement was a primary route for activists to promote the cause and organize over 1,400 protests across the country. Recent research argues that moral discussions on social media are a catalyst for social change. This study sought to shed light on the moral dynamics shaping Black Lives Matter Twitter discussions by analyzing over 40,000 Tweets geo-located to Los Angeles. The goal of this study is to (1) develop computational techniques for mapping the structure of moral discourse on Twitter and (2) understand the connections between social media activism and protest.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Effects of Moral Framing on Online Fundraising Outcomes: Evidence from GoFundMe Campaigns

    cs.CY 2025-05 conditional novelty 6.0 of 10

    In GoFundMe appeals, negative care and fairness framing is associated with more donations and comments but sometimes smaller average donations, while loyalty framing is consistently associated with more support.

Pith tools