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Record W6887708422 · doi:10.17605/osf.io/zuc6p

About the United States of America (U.S.A) “Cancel Culture” and Racism on Twitter - #Michael Ayele (a.k.a) W October 28th 2022 - #Association for the Advancement of Civil Liberties (AACL)

2023· article· en· W6887708422 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2023
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsnot available
Fundersnot available
KeywordsRacismCivil libertiesGovernment (linguistics)MisinformationSubject (documents)GermanResidenceCensorship

Abstract

fetched live from OpenAlex

The Association for the Advancement of Civil Liberties (AACL) has on November 11th 2022 filed a request for records about the United States of America (U.S.A) “cancel culture” and racism on Twitter. As you maybe aware, Elon Musk takeover of Twitter has increased misinformation, extremism and hate speech on the platform (even though it is the judgment of the AACL that Twitter was not the most reliable source of information before October 28th 2022). For instance, the use of the derogatory word “N****r” had increased by nearly 500% (five hundred percent) in the 12 (twelve) hours immediately after Elon Musk takeover of Twitter on October 28th 2022. The AACL does find it a little bit odd that on the same day Elon Musk took over Twitter (on or around October 28th 2022), the official website of the AACL (on WordPress: https://michaelayeleaacl.wordpress.com/ ) was temporarily suspended. Even though the website of the AACL on WordPress went on to be reinstated (on or around October 30th 2022), it is obvious that “cancel culture” in the U.S.A is primarily being used for the purpose of silencing representatives of the media/members of the general public, whose mission is to disseminate public records of the U.S government (in part on the subject of systemic chauvinism, discrimination, misogyny, racism and sexism). The AACL would like to remind the general public that Elon Musk has tweeted misinformation about the physical attack Paul Pelosi was subjected to at his place of residence (on or around October 28th 2022) and that he (Elon Musk) has gone on to offer a half-hearted apology for that tweet, which he later deleted. According to a November 03rd 2022 article published by the Los Angeles Times, “David DePape, the man charged with attempted murder in connection with a violent attack against House Speaker Nancy Pelosi’s husband, Paul Pelosi, is in the U.S. illegally and could be deported to Canada, Immigration and Customs Enforcement Officials said Thursday. (…) Records pulled by ICE found that DePape entered the U.S. as a temporary visitor in March 2008 at the San Ysidro port of Entry. Canadians who enter as temporary visitors generally do not require a visa, officials said. The status DePape used to enter the U.S. generally allows Canadians to stay for six months. On Tuesday, ICE officials issued an immigration detainer on DePape with the San Francisco Couty Jail, where he is currently being held without bail. The detainer seeks a notification from San Francisco law enforcement to notify ICE before he is released in order for the federal agency to take custody of him. Local and state laws limit when jail officials can notify ICE of an individual’s release date. ICE issues detainers against people facing criminal charges whom the agency has probable cause to believe can be deported.” As a matter of principle, the AACL unequivocally condemns discrimination/violence on the bases of gender, racial background, sexual orientation, national origin, religious affiliation, disability status and/or political opinion. Be well. Take care. Keep yourselves at arms distance. Michael Ayele (a.k.a) W Anti-Racist Human Rights Activist Audio-Visual Media Analyst Anti-Propaganda Journalist

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.252
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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