Foundational challenges in assuring alignment and safety of large language models
This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …
language models (LLMs). These challenges are organized into three different categories …
Crowds can effectively identify misinformation at scale
Identifying successful approaches for reducing the belief and spread of online
misinformation is of great importance. Social media companies currently rely largely on …
misinformation is of great importance. Social media companies currently rely largely on …
Reinforcement learning-based counter-misinformation response generation: a case study of COVID-19 vaccine misinformation
The spread of online misinformation threatens public health, democracy, and the broader
society. While professional fact-checkers form the first line of defense by fact-checking …
society. While professional fact-checkers form the first line of defense by fact-checking …
Factcheck-bench: Fine-grained evaluation benchmark for automatic fact-checkers
The increased use of large language models (LLMs) across a variety of real-world
applications calls for mechanisms to verify the factual accuracy of their outputs. In this work …
applications calls for mechanisms to verify the factual accuracy of their outputs. In this work …
Moral emotions shape the virality of COVID-19 misinformation on social media
While false rumors pose a threat to the successful overcoming of the COVID-19 pandemic,
an understanding of how rumors diffuse in online social networks is–even for non-crisis …
an understanding of how rumors diffuse in online social networks is–even for non-crisis …
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output
The increased use of large language models (LLMs) across a variety of real-world
applications calls for mechanisms to verify the factual accuracy of their outputs. In this work …
applications calls for mechanisms to verify the factual accuracy of their outputs. In this work …
The effects of crowd worker biases in fact-checking tasks
Due to the increasing amount of information shared online every day, the need for sound
and reliable ways of distinguishing between trustworthy and non-trustworthy information is …
and reliable ways of distinguishing between trustworthy and non-trustworthy information is …
Birdwatch: Crowd wisdom and bridging algorithms can inform understanding and reduce the spread of misinformation
S Wojcik, S Hilgard, N Judd, D Mocanu… - arxiv preprint arxiv …, 2022 - arxiv.org
We present an approach for selecting objectively informative and subjectively helpful
annotations to social media posts. We draw on data from on an online environment where …
annotations to social media posts. We draw on data from on an online environment where …
Should we agree to disagree about Twitter's bot problem?
O Varol - Online Social Networks and Media, 2023 - Elsevier
Bots, simply defined as accounts controlled by automation, can be used as a weapon for
online manipulation and pose a threat to the health of platforms. Researchers have studied …
online manipulation and pose a threat to the health of platforms. Researchers have studied …
[HTML][HTML] Considering information-sharing motives to reduce misinformation
Misinformation has risen in recent years, negatively effecting domains ranging from politics
to health. To curb the spread of misinformation it is useful to consider why, how, and when …
to health. To curb the spread of misinformation it is useful to consider why, how, and when …