Articlegreen2012

Mark My Words: The Design of an Innovative Methodology to Detect and Analyze Interpersonal Health Conversations in Web and Social Media

Martine P. A. Bouman · Constance H.C. Drossaert · Marcel E. Pieterse

12 citations0/0 files storedJournal of Technology in Human Services

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Social Media in Health Education

Abstract

Internet technology in which social media play a central role offers new opportunities for health communication. The Center for Media & Health (CMH) in the Netherlands in collaboration with the University of Twente developed a methodology called Mark My Words (MMW) to detect and monitor interpersonal conversations on social media. The MMW methodology is based on the concept of “markers” and on data analysis via text mining techniques. MMW is applied in an innovative web-based entertainment-education series called SndBites. This article describes the design of this new research methodology and shares the methodological advantages and challenges.

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References

1994Handbook of Qualitative Research 2001Digital Natives, Digital Immigrants Part 1 1972The Agenda-Setting Function of Mass Media 1986The Elaboration Likelihood Model of Persuasion 2012Digital Natives, Digital Immigrants 2000Handbook of qualitative research 2007Narrative Methods for the Human Sciences 2008Narrative Methods for the Human Sciences

Cited by

2020Transforming the stories we tell about climate change: from ‘issue’ to ‘action’2014Social media monitoring: aims, methods, and challenges for international companies 2019Toward spreadable entertainment-education: leveraging social influence in online networks 2014Entertainment-education: storytelling for the greater, greener good

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