LIWC-ing at a Century of Introductory College Textbooks: Have the Sentiments Changed?

Sell, John M.; Farreras, Ingrid G.

doi:10.1016/j.procs.2017.11.151

Cited by 16 publications

(11 citation statements)

References 4 publications

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“…Across a range of correlational and experimental studies, higher-status people tend to use the words "you" and "we" at higher rates than those in lower standing. At the same time, lower-status individuals consistently use first person singular pronouns and impersonal pronouns at higher rates than higher-status individuals (32)(33)(34)(35)(36)(37). These pronoun differences likely reflect speakers' focus of attention.…”

mentioning

confidence: 98%

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.

141

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: 98%

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.

141

160

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“…Linguistic Inquiry and Word Count (LIWC) is one of the most commonly used dictionary-based tools to evaluate and assess cognitive, social and affective properties in student discourse, as well as educational materials more broadly [34,38]. In the CoI literature, several studies have utilized LIWC to examine the linguistic features associated with social and cognitive presence.…”

Section: Linguistic Inquiry and Word Count (Liwc)mentioning

confidence: 99%

LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses

Lin

Dowell

2020

Lecture Notes in Computer Science

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Women are traditionally underrepresented in science, technology, engineering, and mathematics (STEM). While the representation of women in STEM classrooms has grown rapidly in recent years, it remains pedagogically meaningful to understand whether their learning outcomes are achieved in different ways than male students. In this study, we explored this issue through the lens of language in the context of an asynchronous online discussion forum. We applied Linguistic Inquiry and Word Count (LIWC) to examine linguistic features of students' reflective posting in an online chemistry class at a four-year university. Our results suggest that cognitive linguistic features significantly predict the likelihood of passing the course and increases perceived sense of belonging. However, these results only hold true for female students. Pronouns and words relevant to social presence correlate with passing the course in different directions, and this mixed relationship is more polarized among male students. Interestingly, the linguistic features per se do not differ significantly between genders. Overall, our findings provide a more nuanced account of the relationship between linguistic signals of social/cognitive presence and learning outcomes. We conclude with implications for pedagogical interventions and system design to inclusively support learner success in online STEM courses.

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“…Indeed, previous work with texts from the same era explored in this study have demonstrated that language—psychology links obtained from classical authors are not only psychometrically reliable, but conform nicely to observer reports [ 12 ]. Moreover, recent analyses of historical texts have demonstrated that psychological processes manifest in modern language can be reliably extended backwards by at least 250 years, and perhaps earlier [ 44 – 46 ]. Nevertheless, the particular historical nature of the current data should be weighed into any consideration of the current results.…”

Section: Discussionmentioning

confidence: 99%

Mental profile mapping: A psychological single-candidate authorship attribution method

Boyd

2018

PLoS ONE

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Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper insights in the form of psychological interpretation. Additionally, few attribution methods exist for single-candidate authorship problems, most of which require large amounts of supplemental data to perform and none of which rely upon explicitly psychological measures. The current study introduces Mental Profile Mapping, a new authorship attribution technique for single-candidate authorship questions that is founded on previous scientific research pertaining to the nature of language and psychology. In the current study, baseline expectations for results and performance are set using an advanced technique known as “unmasking” on the test case of Aphra Behn, a 17th century English playwright. Following this, Mental Profile Mapping is introduced and tested for its psychometric properties, tested using a “bogus insertion” method, and then applied to canonical Aphra Behn plays. Results from both attribution methods suggest that 2 of 5 questioned plays are likely to have been authored by Behn, with the remaining 3 plays exhibiting a poor fit for Behn’s psychological fingerprint. Mental Profile Mapping results are then decomposed into deeper psychological interpretation, a quality unique to this new method.

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LIWC-ing at a Century of Introductory College Textbooks: Have the Sentiments Changed?

Cited by 16 publications

References 4 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

LIWCs the Same, Not the Same: Gendered Linguistic Signals of Performance and Experience in Online STEM Courses

Mental profile mapping: A psychological single-candidate authorship attribution method

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