Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
Fake news has now grown into a big problem for societies and also a major challenge for
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
people fighting disinformation. This phenomenon plagues democratic elections, reputations …
[PDF][PDF] The development and psychometric properties of LIWC-22
The words that people use in everyday life tell us about their psychological states: their
beliefs, emotions, thinking habits, lived experiences, social relationships, and personalities …
beliefs, emotions, thinking habits, lived experiences, social relationships, and personalities …
[HTML][HTML] Nostalgia confers psychological wellbeing by increasing authenticity
Nostalgia, a sentimental longing for one's past, predicts or augments psychological
wellbeing (PWB). We hypothesized that it does so—at least in part—via authenticity, a sense …
wellbeing (PWB). We hypothesized that it does so—at least in part—via authenticity, a sense …
Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
[HTML][HTML] Assessing suicide risk and emotional distress in Chinese social media: a text mining and machine learning study
Background Early identification and intervention are imperative for suicide prevention.
However, at-risk people often neither seek help nor take professional assessment. A tool to …
However, at-risk people often neither seek help nor take professional assessment. A tool to …
Can social interaction-oriented content trigger viewers' purchasing and gift-giving behaviors? Evidence from live-streaming commerce
Purpose This study investigates how social interaction-oriented content in broadcasters' live
speech affects broadcast viewers' purchasing and gift-giving behaviors and how …
speech affects broadcast viewers' purchasing and gift-giving behaviors and how …
Building and using personal knowledge graph to improve suicidal ideation detection on social media
L Cao, H Zhang, L Feng - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
A large number of individuals are suffering from suicidal ideation in the world. There are a
number of causes behind why an individual might suffer from suicidal ideation. As the most …
number of causes behind why an individual might suffer from suicidal ideation. As the most …
Designing marketing content for social commerce to drive consumer purchase behaviors: A perspective from speech act theory
F Wang, H Xu, R Hou, Z Zhu - Journal of retailing and consumer services, 2023 - Elsevier
With the emergence of content-driven social commerce, designing marketing content that
better stimulates consumer purchase behaviors has become increasingly essential …
better stimulates consumer purchase behaviors has become increasingly essential …
[PDF][PDF] Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification.
Emotional distress is a prevailing complex social and publichealth problem in modern
societies. About 9.2% of people worldwide have had suicidal ideation at least once in their …
societies. About 9.2% of people worldwide have had suicidal ideation at least once in their …
[PDF][PDF] Building Chinese affective resources in valence-arousal dimensions
An increasing amount of research has recently focused on representing affective states as
continuous numerical values on multiple dimensions, such as the valence-arousal (VA) …
continuous numerical values on multiple dimensions, such as the valence-arousal (VA) …