Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion

Mohammad Alamgir Hossain; Caroline Chan; Yogesh Dwivedi

doi:10.1007/978-3-319-45234-0_58

Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion

Mohammad Alamgir Hossain^*, Caroline Chan, Yogesh Dwivedi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The purpose of this study is to establish and examine a model explaining sharing of political content in social media. From individuals’ perspective, this study identifies two personal (i.e., altruism and social recognition) and two content related attributes (i.e., perceived truthfulness and value) that can directly affect sharing intention of political contents in social media. Moreover, the proposed direct effects are arguably contingent upon ‘collective opinion’. The empirical results support all the hypotheses except the moderating effect of collective opinion between perceived value and intention. The implications of the findings and future research directions are also discussed.

Original language	English
Title of host publication	Social Media
Subtitle of host publication	The Good, the Bad, and the Ugly - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Proceedings
Editors	Yogesh K. Dwivedi, Marc Clement, Emma L. Slade, Nripendra P. Rana, M.N. Ravishankar, Matti Mäntymäki, Marijn Janssen, Salah Al-Sharhan, Antonis C. Simintiras
Publisher	Springer Verlag
Pages	646-657
Number of pages	12
ISBN (Print)	9783319452333
DOIs	https://doi.org/10.1007/978-3-319-45234-0_58
State	Published - 2016
Externally published	Yes
Event	15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016 - Swansea, United Kingdom Duration: 13 Sep 2016 → 15 Sep 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9844 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016
Country/Territory	United Kingdom
City	Swansea
Period	13/09/16 → 15/09/16

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2016.

Keywords

Altruism
Collective opinion
Perceived truthfulness
Political content
Social media

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-45234-0_58

Cite this

Hossain, M. A., Chan, C., & Dwivedi, Y. (2016). Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion. In Y. K. Dwivedi, M. Clement, E. L. Slade, N. P. Rana, M. N. Ravishankar, M. Mäntymäki, M. Janssen, S. Al-Sharhan, & A. C. Simintiras (Eds.), Social Media: The Good, the Bad, and the Ugly - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Proceedings (pp. 646-657). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9844 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-45234-0_58

Hossain, Mohammad Alamgir ; Chan, Caroline ; Dwivedi, Yogesh. / Predicting people’s intention towards sharing political contents in social media : The moderating effect of collective opinion. Social Media: The Good, the Bad, and the Ugly - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Proceedings. editor / Yogesh K. Dwivedi ; Marc Clement ; Emma L. Slade ; Nripendra P. Rana ; M.N. Ravishankar ; Matti Mäntymäki ; Marijn Janssen ; Salah Al-Sharhan ; Antonis C. Simintiras. Springer Verlag, 2016. pp. 646-657 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Predicting people{\textquoteright}s intention towards sharing political contents in social media: The moderating effect of collective opinion",

abstract = "The purpose of this study is to establish and examine a model explaining sharing of political content in social media. From individuals{\textquoteright} perspective, this study identifies two personal (i.e., altruism and social recognition) and two content related attributes (i.e., perceived truthfulness and value) that can directly affect sharing intention of political contents in social media. Moreover, the proposed direct effects are arguably contingent upon {\textquoteleft}collective opinion{\textquoteright}. The empirical results support all the hypotheses except the moderating effect of collective opinion between perceived value and intention. The implications of the findings and future research directions are also discussed.",

keywords = "Altruism, Collective opinion, Perceived truthfulness, Political content, Social media",

author = "Hossain, \{Mohammad Alamgir\} and Caroline Chan and Yogesh Dwivedi",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016.; 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016 ; Conference date: 13-09-2016 Through 15-09-2016",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Dwivedi, \{Yogesh K.\} and Marc Clement and Slade, \{Emma L.\} and Rana, \{Nripendra P.\} and M.N. Ravishankar and Matti M{\"a}ntym{\"a}ki and Marijn Janssen and Salah Al-Sharhan and Simintiras, \{Antonis C.\}",

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Hossain, MA, Chan, C & Dwivedi, Y 2016, Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion. in YK Dwivedi, M Clement, EL Slade, NP Rana, MN Ravishankar, M Mäntymäki, M Janssen, S Al-Sharhan & AC Simintiras (eds), Social Media: The Good, the Bad, and the Ugly - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9844 LNCS, Springer Verlag, pp. 646-657, 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Swansea, United Kingdom, 13/09/16. https://doi.org/10.1007/978-3-319-45234-0_58

Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion. / Hossain, Mohammad Alamgir; Chan, Caroline; Dwivedi, Yogesh.
Social Media: The Good, the Bad, and the Ugly - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Proceedings. ed. / Yogesh K. Dwivedi; Marc Clement; Emma L. Slade; Nripendra P. Rana; M.N. Ravishankar; Matti Mäntymäki; Marijn Janssen; Salah Al-Sharhan; Antonis C. Simintiras. Springer Verlag, 2016. p. 646-657 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9844 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Predicting people’s intention towards sharing political contents in social media

T2 - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016

AU - Hossain, Mohammad Alamgir

AU - Chan, Caroline

AU - Dwivedi, Yogesh

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2016.

PY - 2016

Y1 - 2016

N2 - The purpose of this study is to establish and examine a model explaining sharing of political content in social media. From individuals’ perspective, this study identifies two personal (i.e., altruism and social recognition) and two content related attributes (i.e., perceived truthfulness and value) that can directly affect sharing intention of political contents in social media. Moreover, the proposed direct effects are arguably contingent upon ‘collective opinion’. The empirical results support all the hypotheses except the moderating effect of collective opinion between perceived value and intention. The implications of the findings and future research directions are also discussed.

AB - The purpose of this study is to establish and examine a model explaining sharing of political content in social media. From individuals’ perspective, this study identifies two personal (i.e., altruism and social recognition) and two content related attributes (i.e., perceived truthfulness and value) that can directly affect sharing intention of political contents in social media. Moreover, the proposed direct effects are arguably contingent upon ‘collective opinion’. The empirical results support all the hypotheses except the moderating effect of collective opinion between perceived value and intention. The implications of the findings and future research directions are also discussed.

KW - Altruism

KW - Collective opinion

KW - Perceived truthfulness

KW - Political content

KW - Social media

UR - https://www.scopus.com/pages/publications/84984972155

U2 - 10.1007/978-3-319-45234-0_58

DO - 10.1007/978-3-319-45234-0_58

M3 - Conference contribution

AN - SCOPUS:84984972155

SN - 9783319452333

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 646

EP - 657

BT - Social Media

A2 - Dwivedi, Yogesh K.

A2 - Clement, Marc

A2 - Slade, Emma L.

A2 - Rana, Nripendra P.

A2 - Ravishankar, M.N.

A2 - Mäntymäki, Matti

A2 - Janssen, Marijn

A2 - Al-Sharhan, Salah

A2 - Simintiras, Antonis C.

PB - Springer Verlag

Y2 - 13 September 2016 through 15 September 2016

ER -

Hossain MA, Chan C, Dwivedi Y. Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion. In Dwivedi YK, Clement M, Slade EL, Rana NP, Ravishankar MN, Mäntymäki M, Janssen M, Al-Sharhan S, Simintiras AC, editors, Social Media: The Good, the Bad, and the Ugly - 15th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Proceedings. Springer Verlag. 2016. p. 646-657. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-45234-0_58

Predicting people’s intention towards sharing political contents in social media: The moderating effect of collective opinion

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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