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Health Communication Volume 31, 2016 - Issue 6
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Articles

The Effects of Expressing Religious Support Online for Breast Cancer Patients

Bryan MclaughlinDepartment of Advertising, Texas Tech UniversityCorrespondence[email protected]
,
JungHwan YangSchool of Journalism and Mass Communication, University of Madison–Wisconsin
,
Woohyun YooSurvey & Health Policy Research Center, Dongguck University
,
Bret ShawLife Sciences Communication, University of Madison–Wisconsin
,
Soo Yun KimSchool of Journalism and Mass Communication, University of Madison–Wisconsin
,
Dhavan ShahSchool of Journalism and Mass Communication, University of Madison–Wisconsin
&
David GustafsonDepartment of Industrial and Systems Engineering, University of Madison–Wisconsin
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Pages 762-771 | Published online: 07 Dec 2015

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Read on this site (3)

Jiyoung Lee, Jihyang Choi & Rebecca K. Britt. (2023) Social Media as Risk-Attenuation and Misinformation-Amplification Station: How Social Media Interaction Affects Misperceptions about COVID-19. Health Communication 38:6, pages 1232-1242.
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Jiyoung Lee, Ji Won Kim & T. Makana Chock. (2020) From Risk Butterflies to Citizens Engaged in Risk Prevention in the Zika Virus Crisis: Focusing on Personal, Societal and Global Risk Perceptions. Journal of Health Communication 25:9, pages 671-680.
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Kang Namkoong, Dhavan V. Shah, Bryan McLaughlin, Ming-Yuan Chih, Tae Joon Moon, Shawnika Hull & David H. Gustafson. (2017) Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC. Communication Methods and Measures 11:3, pages 153-172.
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Articles from other publishers (3)

Abby Koenig & Bryan McLaughlin. (2017) Change is an emotional state of mind: Behavioral responses to online petitions. New Media & Society 20:4, pages 1658-1675.
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Woohyun Yoo, JungHwan Yang & Eunji Cho. (2016) How social media influence college students’ smoking attitudes and intentions. Computers in Human Behavior 64, pages 173-182.
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Woohyun Yoo, Doo-Hun Choi & Keeho Park. (2016) The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea. Computers in Human Behavior 62, pages 34-43.
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