当前位置：
X-MOL 学术
›
arXiv.cs.HC
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Investigating Misinformation Dissemination on Social Media in Pakistan
arXiv - CS - Human-Computer Interaction Pub Date : 2021-06-17 , DOI: arxiv-2106.09338 Danyal Haroon, Hammad Arif, Ahmed Abdullah Tariq, fareeda nawaz, Dr. Ihsan Ayyub Qazi, Dr. Maryam mustafa
arXiv - CS - Human-Computer Interaction Pub Date : 2021-06-17 , DOI: arxiv-2106.09338 Danyal Haroon, Hammad Arif, Ahmed Abdullah Tariq, fareeda nawaz, Dr. Ihsan Ayyub Qazi, Dr. Maryam mustafa
Fake news and misinformation are one of the most significant challenges
brought about by advances in communication technologies. We chose to research
the spread of fake news in Pakistan because of some unfortunate incidents that
took place during 2020. These included the downplaying of the severity of the
COVID-19 pandemic, and protests by right-wing political movements. We observed
that fake news and misinformation contributed significantly to these events and
especially affected low-literate and low-income populations. We conducted a
cross-platform comparison of misinformation on WhatsApp, Twitter and YouTube
with a primary focus on messages shared in public WhatsApp groups, and analysed
the characteristics of misinformation, techniques used to make is believable,
and how users respond to it. To the best of our knowledge, this is the first
attempt to compare misinformation on all three platforms in Pakistan. Data
collected over a span of eight months helped us identify fake news and
misinformation related to politics, religion and health, among other
categories. Common elements which were used by fake news creators in Pakistan
to make false content seem believable included: appeals to emotion, conspiracy
theories, political and religious polarization, incorrect facts and
impersonation of credible sources.
更新日期：2021-06-18
京公网安备 11010802027423号