Topic
AI & Society
The latest AI xPress posts in AI & Society.
- Racial bias in a Twitter hate speech classifier fell after a reweighting step, a 2020 study finds
In a 2020 paper in PLoS ONE, researchers report that a trained language model labeled tweets written in African-American English as racist, sexist, hateful or offensive more often than tweets written…
- AI-enabled marketing strategies are linked to greater adoption of sustainable practices among consumers in Gulf retail, a survey of 410 executives suggests
In a 2025 paper in Administrative Sciences, researchers at Middle East University and German Jordanian University surveyed 410 retail executives in Gulf Cooperation Council countries. They analyzed…
- Two machine learning classifiers identified offensive language in Urdu tweets with 86 percent accuracy
In a 2025 paper in IEEE Access, researchers from the University of Peshawar and other institutions collected 12,020 Urdu tweets and labeled them with OLID, a benchmark taxonomy for offensive…
- Survey links AI-driven learning culture to stronger innovation performance at information technology firms in Karachi, Pakistan
In a 2026 paper published in VINE Journal of Information and Knowledge Management Systems, a peer-reviewed journal, researchers surveyed 348 professionals in information technology firms in Karachi…
- In a 2023 study, BERT achieved a 96% F1 score at detecting online hate speech
In a 2023 paper published in Applied Artificial Intelligence, a peer-reviewed journal, researchers from King Abdulaziz University and the University of Tabuk tested two ways to find hate speech in…
- Hate messages without toxic language strengthen audience identification with the author and increase support for harsh anti-immigrant policies
In a 2026 study published in Social Sciences, a peer-reviewed journal, 339 people viewed first-person hate threads on X that targeted immigrants. Hate messages that lacked toxic language created a…
- Posting hateful content on X is linked to higher anger, anxiety, and third-person language, study finds
A study of 6,002 Twitter/X users found that people who posted hateful content expressed more anger, anxiety, and negative emotion than a matched group of users who did not post hateful content…
- Conservative, transgender, and Black social media users reported more content and account removals than other users
In a 2021 peer-reviewed study, conservative, transgender, and Black social media users reported having content or accounts removed more often than other users. Content moderation is the process…
- A 2025 study found that Bangla-BERT detected political hate speech in Bangla text with 92.41% accuracy
In a 2025 study, researchers tested several machine learning, deep learning, and transformer-based models on the task of identifying political hate speech written in Bangla. A model called…
- Commercial moderation APIs over-moderate counter-speech and under-moderate coded hate speech, audit finds
In a 2025 paper, researchers audited five widely used commercial content moderation APIs. These are automated services that screen posts for hate speech. The audit ran five million queries based on…
- A custom text classifier can outperform off-the-shelf models at detecting many kinds of undesired content
In a 2023 paper, researchers at OpenAI in the United States describe a text classification system for real-world content moderation. The system sorts text into categories of undesired content…
- Language models trained on broad text carry political leanings that reinforce polarization and skew hate speech and misinformation detection
In a 2023 paper, researchers found that language models, software trained on large text collections, carry measurable political leanings. Those leanings reinforce the polarization already present in…
