On Positivity Bias in Negative Reviews
Prior work has revealed that positive words occur more frequently than negative words in human expressions, which is typically attributed to positivity bias, a tendency for people to report positive views of reality. But what about the language used in negative reviews? Consistent with prior work, we show that English negative reviews tend to contain more positive words than negative words, using a variety of datasets. We reconcile this observation with prior findings on the pragmatics of negation, and show that negations are commonly associated with positive words in negative reviews. Furthermore, in negative reviews, the majority of sentences with positive words express negative opinions based on sentiment classifiers, indicating some form of negation.
Code (1)
Tasks
NegationSimilar Papers 제목 키워드 기반
Language-Specific Sentiment Polarity Biases in Encoder and Large Language Model Classification of Product Reviews
This study investigates sentiment polarity biases, specifically, differences in how accurately AI models classify positive versus negative reviews across languages and model architectures. Large language models show a ne…
Sentiment AnalysisAre Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews
Peer review plays a central role in the NLP publication process, but is susceptible to various biases. Here, we study language-of-study (LoS) bias: the tendency for reviewers to evaluate a paper differently based on the …
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
Two typical forms of bias in user interaction data with recommender systems (RSs) are popularity bias and positivity bias, which manifest themselves as the over-representation of interactions with popular items or items …
Recommendation SystemsSelection biasExamining the Presence of Gender Bias in Customer Reviews Using Word Embedding
Humans have entered the age of algorithms. Each minute, algorithms shape countless preferences from suggesting a product to a potential life partner. In the marketplace algorithms are trained to learn consumer preference…
Product RecommendationHow do online consumers review negatively?
Negative reviews on e-commerce platforms, mainly in the form of texts, are posted by online consumers to express complaints about unsatisfactory experiences, providing a proxy of big data for sellers to consider improvem…