Moving beyond benchmarks and competitions: towards addressing social media challenges in an educational context
Natural language processing and other areas of artificial intelligence have seen staggering
progress in recent years, yet much of this is reported with reference to somewhat limited …
progress in recent years, yet much of this is reported with reference to somewhat limited …
Combating multimodal fake news on social media: methods, datasets, and future perspective
The growth in the use of social media platforms such as Facebook and Twitter over the past
decade has significantly facilitated and improved the way people communicate with each …
decade has significantly facilitated and improved the way people communicate with each …
Tackling fake news detection by interactively learning representations using graph neural networks
N Mehta, D Goldwasser - Proceedings of the First Workshop on …, 2021 - aclanthology.org
Easy access, variety of content, and fast widespread interactions are some of the reasons
that have made social media increasingly popular in today's society. However, this has also …
that have made social media increasingly popular in today's society. However, this has also …
Yes, echo-chambers mislead you too: a game-based educational experience to reveal the impact of social media personalization algorithms
We present a digital media literacy activity composed of (i) an educational talk and (ii) a
game-based activity. The aim is to support teachers in developing learning activities to …
game-based activity. The aim is to support teachers in developing learning activities to …
Automatic detection of fake news in social media using contextual information
T Granskogen - 2018 - ntnuopen.ntnu.no
Misinformation has become an important part of society, especially with the increase in fake
news. This thesis investigates how using contextual and network data may be used as a …
news. This thesis investigates how using contextual and network data may be used as a …
Automatic ground truth dataset creation for fake news detection in social media
Fake news has become over the last years one of the most crucial issues for social media
platforms, users and news organizations. Therefore, research has focused on developing …
platforms, users and news organizations. Therefore, research has focused on developing …
Tackling fake news detection by continually improving social context representations using graph neural networks
N Mehta, ML Pacheco… - Proceedings of the 60th …, 2022 - aclanthology.org
Easy access, variety of content, and fast widespread interactions are some of the reasons
making social media increasingly popular. However, this rise has also enabled the …
making social media increasingly popular. However, this rise has also enabled the …
Game-on: Graph attention network based multimodal fusion for fake news detection
Fake news being spread on social media platforms has a disruptive and damaging impact
on our lives. Multimedia content improves the visibility of posts more than text data but is …
on our lives. Multimedia content improves the visibility of posts more than text data but is …
Large Multimodal Models as Social Multimedia Analysis Engines
J Luo - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …
Models (LMMs) in various general vision and language tasks. There is growing interest in …
An Interactive Framework for Profiling News Media Sources
N Mehta, D Goldwasser - arXiv preprint arXiv:2309.07384, 2023 - arxiv.org
The recent rise of social media has led to the spread of large amounts of fake and biased
news, content published with the intent to sway beliefs. While detecting and profiling the …
news, content published with the intent to sway beliefs. While detecting and profiling the …