AI and global governance: modalities, rationales, tensions

M Veale, K Matus, R Gorwa - Annual Review of Law and Social …, 2023 - annualreviews.org
Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the
world are engaged in building a governance regime around it. What exactly the “it” is that is …

Do not recommend? Reduction as a form of content moderation

T Gillespie - Social Media+ Society, 2022 - journals.sagepub.com
Public debate about content moderation has overwhelmingly focused on removal: social
media platforms deleting content and suspending users, or opting not to do so. However …

Building human values into recommender systems: An interdisciplinary synthesis

J Stray, A Halevy, P Assar, D Hadfield-Menell… - ACM Transactions on …, 2024 - dl.acm.org
Recommender systems are the algorithms which select, filter, and personalize content
across many of the world's largest platforms and apps. As such, their positive and negative …

Affinity profiling and discrimination by association in online behavioral advertising

S Wachter - Berkeley Technology Law Journal, 2020 - JSTOR
Affinity profiling—grou** people according to their assumed interests rather than solely
their personal traits—has become commonplace in the online advertising industry. Online …

Algorithmic censorship by social platforms: Power and resistance

J Cobbe - Philosophy & Technology, 2021 - Springer
Effective content moderation by social platforms is both important and difficult; numerous
issues arise from the volume of information, the culturally sensitive and contextual nature of …

Automated trouble: The role of algorithmic selection in harms on social media platforms

F Saurwein, C Spencer-Smith - Media and Communication, 2021 - zora.uzh.ch
Social media platforms like Facebook, YouTube, and Twitter have become major objects of
criticism for reasons such as privacy violations, anticompetitive practices, and interference in …

Differential tweetment: Mitigating racial dialect bias in harmful tweet detection

A Ball-Burack, MSA Lee, J Cobbe, J Singh - Proceedings of the 2021 …, 2021 - dl.acm.org
Automated systems for detecting harmful social media content are afflicted by a variety of
biases, some of which originate in their training datasets. In particular, some systems have …

Content traffic regulation: A democratic framework for addressing misinformation

T Shadmy - JURIMETRICS J, 2022 - HeinOnline
This Article offers a roadmap for sha** a new generation of structural and procedural
regulative interventions that aim to mitigate the proliferation of online misinformation, without …

[PDF][PDF] Artificial intelligence, content moderation, and freedom of expression

E Llansó, J Van Hoboken, P Leerssen, J Harambam - 2020 - lirias.kuleuven.be
As governments, companies, and people around the world grapple with the challenges of
hate speech, terrorist propaganda, and disinformation online,“artificial intelligence”(AI) is …

New school speech regulation as a regulatory strategy against hate speech on social media: The case of Germany's NetzDG

R Griffin - Telecommunications Policy, 2022 - Elsevier
Germany's 2017 NetzDG law is an example of 'new school speech regulation'(Balkin, 2014),
which restricts speech by coercing intermediaries into censoring users, rather than coercing …