Methodological Considerations in Analyzing Twitter Data

Journal of the National Cancer Institute. Monographs - Tập 2013 Số 47 - Trang 140-146 - 2013
Annice Kim1, Heather Hansen1, Joe Murphy1, Ashley Richards1, Jennifer Duke1, Jane Allen1
1Affiliation of authors:Public Health Policy Research Program, Survey Research Division Program on Digital Technology and SocietyRTI International, Research Triangle Park, NC (AEK, HMH, AKR, JD, JAA) and Chicago, IL (JM).

Tóm tắt

Từ khóa


Tài liệu tham khảo

Wickre

Kessler

Allen

De la Torre-Diez, 2012, A content analysis of chronic diseases social groups on Facebook and Twitter, Telemed J E Health, 18, 404, 10.1089/tmj.2011.0227

Sugawara, 2012, Cancer patients on Twitter: a novel patient community on social media, BMC Res Notes, 5, 699, 10.1186/1756-0500-5-699

Keim-Malpass, 2012, Talking with death at a diner: young women’s online narratives of cancer, Oncol Nurs Forum, 39, 373, 10.1188/12.ONF.373-378

Lyles, 2013, “5 mins of uncomfyness is better than dealing with cancer 4 a lifetime”: an exploratory qualitative analysis of cervical and breast cancer screening dialogue on Twitter, J Cancer Educ, 28, 127, 10.1007/s13187-012-0432-2

Tips from

Chaudhry, 2012, Trends in twitter use by physicians at the American Society of Clinical Oncology annual meeting, 2010 and 2011, J Oncol Pract, 8, 173, 10.1200/JOP.2011.000483

Bruns, 2013, Towards more systematic Twitter analysis: metrics for tweeting activities, Int J Soc Res Methodol, 16, 91, 10.1080/13645579.2012.756095

Murphy, Twitter feeds and Google search query surveillance: can they supplement survey data collection

Squiers, 2011, The public’s response to the U.S. Preventive Services Task Force’s 2009 recommendations on mammography screening, Am J Prev Med, 40, 497, 10.1016/j.amepre.2010.12.027

Kim, 2013, Can tweets replace polls? Case study comparing tweets about U.S. healthcare reform to public opinion poll data, Social Media, Sociality, and Survey Research, 10.1002/9781118751534.ch3

Kim, Methodological considerations in analyzing Twitter data, 10.1093/jncimonographs/lgt026

Kim, Can automated sentiment analysis of Twitter data replace human coding?

Smith

Williams

Bosley, 2013, Decoding Twitter: surveillance and trends for cardiac arrest and resuscitation communication, Resuscitation, 84, 206, 10.1016/j.resuscitation.2012.10.017

Collier, 2011, OMG U got flu? Analysis of shared health messages for bio-surveillance, J Biomed Semantics, 2, S9, 10.1186/2041-1480-2-S5-S9

Chew, 2010, Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak, PLoS One, 5, e14118, 10.1371/journal.pone.0014118

Powell, Quantity versus quality: the impact of sampling tweets on health care reform opinions

Chowdhury

Twitter

Sovinova, 2012, Development of Smoking Prevalence in the Adult Population of the Czech Republic 1997–2011 [in Czech]

Murphy

Rhodes

Kamel Boulos, 2011, Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples, Int J Health Geogr, 10, 67, 10.1186/1476-072X-10-67

Behrend, 2011, The viability of crowdsourcing for survey research, Behav Res Methods, 43, 800, 10.3758/s13428-011-0081-0

Parvanta, 2013, Crowdsourcing 101: a few basics to make you the leader of the pack, Health Promot Pract, 14, 163, 10.1177/1524839912470654

AAAI Publications