2019
DOI: 10.1037/emo0000416
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Does counting emotion words on online social networks provide a window into people’s subjective experience of emotion? A case study on Facebook.

Abstract: Psychologists have long debated whether it is possible to assess how people subjectively feel without asking them. The recent proliferation of online social networks has recently added a fresh chapter to this discussion, with research now suggesting that it is possible to index people's subjective experience of emotion by simply counting the number of emotion words contained in their online social network posts. Whether the conclusions that emerge from this work are valid, however, rests on a critical assumpti… Show more

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Cited by 47 publications
(46 citation statements)
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References 34 publications
(65 reference statements)
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“…Future studies incorporating trait preoccupation with moods (e.g., rumination) may be fruitful. EV's correspondence with mood is noteworthy given possible difficulties inferring momentary well-being from emotion word frequencies 40,41 . The EV approach bypasses this issue by relying not on frequency but rather on the diversity of emotion word categories.…”
Section: Discussionmentioning
confidence: 99%
“…Future studies incorporating trait preoccupation with moods (e.g., rumination) may be fruitful. EV's correspondence with mood is noteworthy given possible difficulties inferring momentary well-being from emotion word frequencies 40,41 . The EV approach bypasses this issue by relying not on frequency but rather on the diversity of emotion word categories.…”
Section: Discussionmentioning
confidence: 99%
“…For example, one prominent study counted the number of emotion words contained in people's Facebook posts to draw inferences about how they felt although no validation data supported the use of such methods to track people's emotions on social media [103]. As later research pointed out, counting emotion words does not track how people feel on Facebook [104]. The take-home point is simple: psychometrically sound measures are not a luxury: they are instrumental for valid inferences.…”
Section: Trends In Cognitive Sciencesmentioning
confidence: 99%
“…These lexicons are specific to emotion with some developed to address discrete emotions (e.g., anger, sadness) (Aman & Szpakowicz, 2007;Mohammad & Turney, 2010) and others to address affect dimensions (e.g., valence, arousal) (Mohammad, 2018;Warriner et al, 2013). Researchers in computational linguistics and psychological disciplines have used these openly available lexicons to examine questions such as how emotions change at the micro timescale (Kross et al, 2019) and how emotions change at the macro, developmental timescale (Hipson, 2019), as well as such varied topics as attitudes toward products, politicians, and professional sports teams (Gratch et al, 2015;Maynard & Funk, 2011;Zhang et al, 2010).…”
Section: Exploring the Affective Context Of Wordsmentioning
confidence: 99%