Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions
Large language models have abilities in creating high-volume human-like texts and can be
used to generate persuasive misinformation. However, the risks remain under-explored. To …
used to generate persuasive misinformation. However, the risks remain under-explored. To …
Combating health misinformation in social media: Characterization, detection, intervention, and open issues
Social media has been one of the main information consumption sources for the public,
allowing people to seek and spread information more quickly and easily. However, the rise …
allowing people to seek and spread information more quickly and easily. However, the rise …
[HTML][HTML] Online misinformation against older adults during the Covid-19 pandemic: a brief overview
Lack of knowledge about COVID-19 and increased use of social networks contributed to the
spread of misinformation about the disease in society, harming older adults' health. In this …
spread of misinformation about the disease in society, harming older adults' health. In this …
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 …
Predicting information pathways across online communities
The problem of community-level information pathway prediction (CLIPP) aims at predicting
the transmission trajectory of content across online communities. A successful solution to …
the transmission trajectory of content across online communities. A successful solution to …
Benefits and harms of large language models in digital mental health
The past decade has been transformative for mental health research and practice. The
ability to harness large repositories of data, whether from electronic health records (EHR) …
ability to harness large repositories of data, whether from electronic health records (EHR) …
COVID-19 related shifts in social interaction, connection, and cohesion impact psychosocial health: Longitudinal qualitative findings from COVID-19 treatment trial …
While effective for slowing the transmission of SARS-CoV-2, public health measures, such
as physical distancing and stay-at-home orders, have significantly shifted the way people …
as physical distancing and stay-at-home orders, have significantly shifted the way people …
The effect of social media and infodemic on mental health during the COVID-19 pandemic: results from the COMET multicentric trial
G Sampogna, M Di Vincenzo, M Luciano… - Frontiers in …, 2023 - frontiersin.org
On January 30, 2020, the World Health Organization (WHO) declared the status of pandemic
due to the COVID-19 infection. The initial phases of the pandemic were characterized by …
due to the COVID-19 infection. The initial phases of the pandemic were characterized by …
[HTML][HTML] Dynamics of the negative discourse toward COVID-19 vaccines: topic modeling study and an annotated data set of Twitter posts
G Lindelöf, T Aledavood, B Keller - Journal of Medical Internet Research, 2023 - jmir.org
Background: Since the onset of the COVID-19 pandemic, vaccines have been an important
topic in public discourse. The discussions around vaccines are polarized, as some see them …
topic in public discourse. The discussions around vaccines are polarized, as some see them …
Characterizing and predicting social correction on twitter
Online misinformation has been a serious threat to public health and society. Social media
users are known to reply to misinformation posts with counter-misinformation messages …
users are known to reply to misinformation posts with counter-misinformation messages …