Diurnal variations of psychometric indicators in Twitter content

Dzogang, Fabon; Lightman, Stafford; Cristianini, Nello

doi:10.1371/journal.pone.0197002

Cited by 39 publications

(34 citation statements)

References 24 publications

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“…Initially labeled the categorical-dynamic index, this pole of the psychological dimension was later renamed analytic (27)(28)(29). Conversely, individuals scoring low on such measures of analytic thinking have been found to use higher rates of function word categories, such as pronouns, negations, auxiliary verbs, and so on-such linguistic features serve as signifiers of a more "intuitive" style of thinking (30,31).…”

mentioning

confidence: 99%

Examining long-term trends in politics and culture through language of political leaders and cultural institutions

Jordan

Sterling

Pennebaker

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

150

160

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From many perspectives, the election of Donald Trump was seen as a departure from long-standing political norms. An analysis of Trump’s word use in the presidential debates and speeches indicated that he was exceptionally informal but at the same time, spoke with a sense of certainty. Indeed, he is lower in analytic thinking and higher in confidence than almost any previous American president. Closer analyses of linguistic trends of presidential language indicate that Trump’s language is consistent with long-term linear trends, demonstrating that he is not as much an outlier as he initially seems. Across multiple corpora from the American presidents, non-US leaders, and legislative bodies spanning decades, there has been a general decline in analytic thinking and a rise in confidence in most political contexts, with the largest and most consistent changes found in the American presidency. The results suggest that certain aspects of the language style of Donald Trump and other recent leaders reflect long-evolving political trends. Implications of the changing nature of popular elections and the role of media are discussed.

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mentioning

confidence: 99%

Examining long-term trends in politics and culture through language of political leaders and cultural institutions

Jordan

Sterling

Pennebaker

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

150

160

View full text Add to dashboard Cite

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“…The recent accessibility of large quantities of natural language data has prompted the development of computerized applications for text analysis (Tausczik & Pennebaker, 2010). Such methods of linguistic inquiry rely on the assumption that language is inevitably linked to human psychology and that psychological processes find their reflection in the words that people use, often unconsciously (Boyd, 2017;Dzogang, Lightman, & Cristianini, 2018).…”

Section: Word Counting Approach In Language Analysismentioning

confidence: 99%

The big two dictionaries: Capturing agency and communion in natural language

Pietraszkiewicz

Formanowicz

Sendén

et al. 2019

Euro J Social Psych

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Four studies developed and validated two dictionaries to capture agentic and communal expressions in natural language. Their development followed the Linguistic Inquiry and Word Count (LIWC) approach (Study 1) and we tested their validity with frequency‐based analyses and semantic similarity measures. The newly developed Agency and Communion dictionaries were aligned with LIWC categories related to agency and communion (Study 2), and corresponded with subjective ratings (Study 3), confirming their convergent validity. Very low or absent correspondence between proposed dictionaries and unrelated LIWC categories demonstrated their discriminant validity (Study 2). Finally, we applied both dictionaries to language used in advertisements. In correspondence to gender stereotypes, male‐dominated jobs were advertised with more agentic than communal words, and female‐dominated jobs with more communal than agentic words (Study 4). Both dictionaries represent reliable tools for quantifying agentic and communal content in natural language, and will improve and facilitate future research on agency and communion.

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“…The copyright holder for this preprint this version posted July 28, 2020. ; https://doi.org/10.1101/2020.07. 25 real-world news events [24]. In this study, we demonstrated that the number of COVID-19 related tweets and their sentiment scores were correlated with the significant events about COVID-19.…”

Section: Sentiment Analysismentioning

confidence: 55%

“…The copyright holder for this preprint this version posted July 28, 2020. ; https://doi.org/10.1101/2020.07. 25 (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved.…”

Section: Sentiment Analysismentioning

confidence: 99%

Public Reactions towards the COVID-19 Pandemic on Twitter in the United Kingdom and the United States

Zou

Wang

Xie

et al. 2020

Preprint

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Background: The coronavirus disease 2019 (COVID-19) has spread globally since December 2019. Twitter is a popular social media platform with active discussions about the COVID-19 pandemic. The public reactions on Twitter about the COVID-19 pandemic in different countries have not been studied. This study aims to compare the public reactions towards the COVID-19 pandemic between the United Kingdom and the United States from March 6, 2020 to April 2, 2020. Data: The numbers of confirmed COVID-19 cases in the United Kingdom and the United States were obtained from the 1Point3Acres website. Twitter data were collected using COVID-19 related keywords from March 6, 2020 to April 2, 2020. Methods: Temporal analyses were performed on COVID-19 related Twitter posts (tweets) during the study period to show daily trends and hourly trends. The sentiment scores of the tweets on COVID-19 were analyzed and associated with the policy announcements and the number of confirmed COVID-19 cases. Topic modeling was conducted to identify related topics discussed with COVID-19 in the United Kingdom and the United States. Results: The number of daily new confirmed COVID-19 cases in the United Kingdom was significantly lower than that in the United States during our study period. There were 3,556,442 COVID-19 tweets in the United Kingdom and 16,280,065 tweets in the United States during the study period. The number of COVID-19 tweets per 10,000 Twitter users in the United Kingdom was lower than that in the United States. The sentiment scores of COVID-19 tweets in the United Kingdom were less negative than those in the United States. The topics discussed in COVID-19 tweets in the United Kingdom were mostly about the gratitude to government and health workers, while the topics in the United States were mostly about the global COVID-19 pandemic situation. Conclusion: Our study showed correlations between the public reactions towards the COVID-19 pandemic on Twitter and the confirmed COVID-19 cases as well as the policies related to the COVID-19 pandemic in the United Kingdom and the United States.

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Diurnal variations of psychometric indicators in Twitter content

Cited by 39 publications

References 24 publications

Examining long-term trends in politics and culture through language of political leaders and cultural institutions

Examining long-term trends in politics and culture through language of political leaders and cultural institutions

The big two dictionaries: Capturing agency and communion in natural language

Public Reactions towards the COVID-19 Pandemic on Twitter in the United Kingdom and the United States

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