Home > Research > Publications & Outputs > An Inclusive, Real-World Investigation of Persu...

Electronic data

  • Ta et al. (in press) - An inclusive, real-world investigation of persuasion in language and verbal behavior

    Rights statement: The final publication is available at Springer via http://dx.doi.org/10.1007/s42001-021-00153-5

    Accepted author manuscript, 655 KB, PDF document

    Embargo ends: 1/12/22

    Available under license: Other

Links

Text available via DOI:

View graph of relations

An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior. / Ta, Vivian P.; Boyd, Ryan L; Seraj, Sarah; Keller, Anne; Griffith, Caroline; Loggarakis, Alexia; Medema, Lael.

In: Journal of Computational Social Science, Vol. 5, No. 1, 31.05.2022, p. 883–903 .

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ta, VP, Boyd, RL, Seraj, S, Keller, A, Griffith, C, Loggarakis, A & Medema, L 2022, 'An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior', Journal of Computational Social Science, vol. 5, no. 1, pp. 883–903 . https://doi.org/10.1007/s42001-021-00153-5

APA

Ta, V. P., Boyd, R. L., Seraj, S., Keller, A., Griffith, C., Loggarakis, A., & Medema, L. (2022). An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior. Journal of Computational Social Science, 5(1), 883–903 . https://doi.org/10.1007/s42001-021-00153-5

Vancouver

Ta VP, Boyd RL, Seraj S, Keller A, Griffith C, Loggarakis A et al. An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior. Journal of Computational Social Science. 2022 May 31;5(1):883–903 . https://doi.org/10.1007/s42001-021-00153-5

Author

Ta, Vivian P. ; Boyd, Ryan L ; Seraj, Sarah ; Keller, Anne ; Griffith, Caroline ; Loggarakis, Alexia ; Medema, Lael. / An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior. In: Journal of Computational Social Science. 2022 ; Vol. 5, No. 1. pp. 883–903 .

Bibtex

@article{4d05cd48673344c5b79dd16da3c68de8,
title = "An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior",
abstract = "Linguistic features of a message necessarily shape its persuasive appeal. However, studies have largely examined the effect of linguistic features on persuasion in isolation and do not incorporate properties of language that are often involved in real-world persuasion. As such, little is known about the key verbal dimensions of persuasion or the relative impact of linguistic features on a message{\textquoteright}s persuasive appeal in real-world social interactions. We collected large-scale data of online social interactions from a social media website in which users engage in debates in an attempt to change each other{\textquoteright}s views on any topic. Messages that successfully changed a user{\textquoteright}s views are explicitly marked by the user themselves. We simultaneously examined linguistic features that have been previously linked with message persuasiveness between persuasive and non-persuasive messages. Linguistic features that drive persuasion fell along three central dimensions: structural complexity, negative emotionality, and positive emotionality. Word count, lexical diversity, reading difficulty, analytical language, and self-references emerged as most essential to a message{\textquoteright}s persuasive appeal: messages that were longer, more analytic, less anecdotal, more difficult to read, and less lexically varied had significantly greater odds of being persuasive. These results provide a more parsimonious understanding of the social psychological pathways to persuasion as it operates in the real world through verbal behavior. Our results inform theories that address the role of language in persuasion, and provide insight into effective persuasion in digital environments.",
keywords = "Persuasion, Language, Attitude change, Online interactions",
author = "Ta, {Vivian P.} and Boyd, {Ryan L} and Sarah Seraj and Anne Keller and Caroline Griffith and Alexia Loggarakis and Lael Medema",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s42001-021-00153-5",
year = "2022",
month = may,
day = "31",
doi = "10.1007/s42001-021-00153-5",
language = "English",
volume = "5",
pages = "883–903 ",
journal = "Journal of Computational Social Science",
issn = "2432-2717",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - An Inclusive, Real-World Investigation of Persuasion in Language and Verbal Behavior

AU - Ta, Vivian P.

AU - Boyd, Ryan L

AU - Seraj, Sarah

AU - Keller, Anne

AU - Griffith, Caroline

AU - Loggarakis, Alexia

AU - Medema, Lael

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s42001-021-00153-5

PY - 2022/5/31

Y1 - 2022/5/31

N2 - Linguistic features of a message necessarily shape its persuasive appeal. However, studies have largely examined the effect of linguistic features on persuasion in isolation and do not incorporate properties of language that are often involved in real-world persuasion. As such, little is known about the key verbal dimensions of persuasion or the relative impact of linguistic features on a message’s persuasive appeal in real-world social interactions. We collected large-scale data of online social interactions from a social media website in which users engage in debates in an attempt to change each other’s views on any topic. Messages that successfully changed a user’s views are explicitly marked by the user themselves. We simultaneously examined linguistic features that have been previously linked with message persuasiveness between persuasive and non-persuasive messages. Linguistic features that drive persuasion fell along three central dimensions: structural complexity, negative emotionality, and positive emotionality. Word count, lexical diversity, reading difficulty, analytical language, and self-references emerged as most essential to a message’s persuasive appeal: messages that were longer, more analytic, less anecdotal, more difficult to read, and less lexically varied had significantly greater odds of being persuasive. These results provide a more parsimonious understanding of the social psychological pathways to persuasion as it operates in the real world through verbal behavior. Our results inform theories that address the role of language in persuasion, and provide insight into effective persuasion in digital environments.

AB - Linguistic features of a message necessarily shape its persuasive appeal. However, studies have largely examined the effect of linguistic features on persuasion in isolation and do not incorporate properties of language that are often involved in real-world persuasion. As such, little is known about the key verbal dimensions of persuasion or the relative impact of linguistic features on a message’s persuasive appeal in real-world social interactions. We collected large-scale data of online social interactions from a social media website in which users engage in debates in an attempt to change each other’s views on any topic. Messages that successfully changed a user’s views are explicitly marked by the user themselves. We simultaneously examined linguistic features that have been previously linked with message persuasiveness between persuasive and non-persuasive messages. Linguistic features that drive persuasion fell along three central dimensions: structural complexity, negative emotionality, and positive emotionality. Word count, lexical diversity, reading difficulty, analytical language, and self-references emerged as most essential to a message’s persuasive appeal: messages that were longer, more analytic, less anecdotal, more difficult to read, and less lexically varied had significantly greater odds of being persuasive. These results provide a more parsimonious understanding of the social psychological pathways to persuasion as it operates in the real world through verbal behavior. Our results inform theories that address the role of language in persuasion, and provide insight into effective persuasion in digital environments.

KW - Persuasion

KW - Language

KW - Attitude change

KW - Online interactions

U2 - 10.1007/s42001-021-00153-5

DO - 10.1007/s42001-021-00153-5

M3 - Journal article

VL - 5

SP - 883

EP - 903

JO - Journal of Computational Social Science

JF - Journal of Computational Social Science

SN - 2432-2717

IS - 1

ER -