mlsanityData to 14 Oct 2026

WorryWords: Norms of Anxiety Association for over 44k English Words

arXiv 2411.03966 ↗First posted 6 Nov 2024cs.CLcited by 10

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Abstract (arXiv)

Anxiety, the anticipatory unease about a potential negative outcome, is a common and beneficial human emotion. However, there is still much that is not known, such as how anxiety relates to our body and how it manifests in language. This is especially pertinent given the increasing impact of anxiety-related disorders. In this work, we introduce WorryWords, the first large-scale repository of manually derived word--anxiety associations for over 44,450 English words. We show that the anxiety associations are highly reliable. We use WorryWords to study the relationship between anxiety and other emotion constructs, as well as the rate at which children acquire anxiety words with age. Finally, we show that using WorryWords alone, one can accurately track the change of anxiety in streams of text. The lexicon enables a wide variety of anxiety-related research in psychology, NLP, public health, and social sciences. WorryWords (and its translations to over 100 languages) is freely available. http://saifmohammad.com/worrywords.html

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 7 of its 54 references that are in the map. First posted on arXiv 6 Nov 2024.

Builds on

7 of 54 references.

References · 7

  1. 2013Crowdsourcing a Word-Emotion Association Lexiconcited by 196
  2. 2017Word Affect Intensitiescited by 51
  3. 2022Best Practices in the Creation and Use of Emotion Lexiconscited by 27
  4. 2013From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Talescited by 16
  5. 2023Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysiscited by 16
  6. 2018Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervisioncited by 8
  7. 2013Happiness and the Patterns of Life: A Study of Geolocated Tweetscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 7; 2026: 3.

10 papers.