same-sex marriage
Thailand's Senate approves historic bill legalizing same-sex marriages
Police seized ketamine hidden inside life-size Transformer robots in Thailand. A woman who was previously caught trying to ship meth hidden in a food processing machine was trying to send the robots to Taiwan. Thailand's Senate voted overwhelmingly on Tuesday to approve a bill that would legalize same-sex marriage, clearing the last legislative hurdle for the country to become the first in Southeast Asia to enact such a law. Thailand has a reputation for acceptance and inclusivity but has struggled for decades to pass a marriage equality law. Thai society largely holds conservative values, and members of the LGBTQ community say they face discrimination in everyday life.
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
Bang, Yejin, Chen, Delong, Lee, Nayeon, Fung, Pascale
We propose to measure political bias in LLMs by analyzing both the content and style of their generated content regarding political issues. Existing benchmarks and measures focus on gender and racial biases. However, political bias exists in LLMs and can lead to polarization and other harms in downstream applications. In order to provide transparency to users, we advocate that there should be fine-grained and explainable measures of political biases generated by LLMs. Our proposed measure looks at different political issues such as reproductive rights and climate change, at both the content (the substance of the generation) and the style (the lexical polarity) of such bias. We measured the political bias in eleven open-sourced LLMs and showed that our proposed framework is easily scalable to other topics and is explainable.
Study reveals we tend to twist facts and statistics on controversial issues to fit our own beliefs
From news outlets to social media sites, there are numerous places that spread fake news, but a study has uncovered a new source – you. Researchers found that people will misremember numerical statistics on a controversial topic in a way that fits their own commonly held beliefs. For example, when people were shown that the number of Mexican immigrants in the United States declined recently during the study--which is true but goes against many people's beliefs--they tended to remember the opposite. And the team also found that as people pass along this misinformation, the numbers can become further and further from the truth. The study was conducted by a team at Ohio State University, who carried out two studies to investigate how people perceive and spread fake news.