5 citations · 12 across the 7 of their papers we have counts for
7 papers
RCMN: Understanding Misleadingness in Influential Public Discourse
Peiling Yi
Influential public discourse shapes public beliefs and can also mislead, not only through what is stated, but also through how information is framed, omitted, contextualised, and c…
Detecting harassment and defamation in cyberbullying with emotion-adaptive training
Peiling Yi, Arkaitz Zubiaga, Yunfei Long
Existing research on detecting cyberbullying incidents on social media has primarily concentrated on harassment and is typically approached as a binary classification task. However…
Irony Detection, Reasoning and Understanding in Zero-shot Learning
Peiling Yi, Yuhan Xia, Yunfei Long
The generalisation of irony detection faces significant challenges, leading to substantial performance deviations when detection models are applied to diverse real-world scenarios.…
ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection
Peiling Yi, Arkaitz Zubiaga
Swear words are a common proxy to collect datasets with cyberbullying incidents. Our focus is on measuring and mitigating biases derived from spurious associations between swear wo…
Session-based Cyberbullying Detection in Social Media: A Survey
Peiling Yi, Arkaitz Zubiaga
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim through a social media session. By investigating cyberbullying perpetrated through social…
Cyberbullying detection across social media platforms via platform-aware adversarial encoding
Peiling Yi, Arkaitz Zubiaga
Despite the increasing interest in cyberbullying detection, existing efforts have largely been limited to experiments on a single platform and their generalisability across differe…
Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT
Peiling Yi, Arkaitz Zubiaga
Teenager detection is an important case of the age detection task in social media, which aims to detect teenage users to protect them from negative influences. The teenager detecti…