Literature DB >> 31438134

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter.

François Modave1, Yunpeng Zhao2, Janice Krieger3, Zhe He4, Yi Guo2, Jinhai Huo5, Mattia Prosperi6, Jiang Bian2.   

Abstract

Among American women, the rate of breast cancer is only second to lung cancer. An estimated 12.4% women will develop breast cancer over the course of their lifetime. The widespread use of social media across the socio-economic spectrum offers unparalleled ways to facilitate information sharing, in particular as it pertains to health. Social media is also used by many healthcare stakeholders, ranging from government agencies to healthcare industry, to disseminate health information and to engage patients. The purpose of this study is to investigate people's perceptions and attitudes related to breast cancer, especially those that are related to physical activities, on Twitter. To achieve this, we first identified and collected tweets related to breast cancer; and then used topic modeling and sentiment analysis techniques to understand discussion themes and quantify Twitter users' perceptions and emotions with respect tobreast cancer to answer 5 research questions.

Entities:  

Keywords:  Analysis; Breast Cancer; Social Media

Mesh:

Year:  2019        PMID: 31438134      PMCID: PMC7077755          DOI: 10.3233/SHTI190435

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

1.  Meeting the physical activity guidelines and survival after breast cancer: findings from the after breast cancer pooling project.

Authors:  Jeannette M Beasley; Marilyn L Kwan; Wendy Y Chen; Erin K Weltzien; Candyce H Kroenke; Wei Lu; Sarah J Nechuta; Lisa Cadmus-Bertram; Ruth E Patterson; Barbara Sternfeld; Xiao-Ou Shu; John P Pierce; Bette J Caan
Journal:  Breast Cancer Res Treat       Date:  2011-09-21       Impact factor: 4.872

2.  Health awareness campaigns and diagnosis rates: evidence from National Breast Cancer Awareness Month.

Authors:  Grant D Jacobsen; Kathryn H Jacobsen
Journal:  J Health Econ       Date:  2010-12-04       Impact factor: 3.883

3.  Physical activity and risk of breast cancer: a meta-analysis of prospective studies.

Authors:  Yili Wu; Dongfeng Zhang; Shan Kang
Journal:  Breast Cancer Res Treat       Date:  2012-12-30       Impact factor: 4.872

4.  Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms.

Authors:  Amanda Hicks; William R Hogan; Michael Rutherford; Bradley Malin; Mengjun Xie; Christiane Fellbaum; Zhijun Yin; Daniel Fabbri; Josh Hanna; Jiang Bian
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

5.  Dual effects of weight and weight gain on breast cancer risk.

Authors:  Z Huang; S E Hankinson; G A Colditz; M J Stampfer; D J Hunter; J E Manson; C H Hennekens; B Rosner; F E Speizer; W C Willett
Journal:  JAMA       Date:  1997-11-05       Impact factor: 56.272

6.  Health Literacy and Access to Care.

Authors:  Helen Levy; Alex Janke
Journal:  J Health Commun       Date:  2016

7.  Benefits of supervised group exercise programme for women being treated for early stage breast cancer: pragmatic randomised controlled trial.

Authors:  Nanette Mutrie; Anna M Campbell; Fiona Whyte; Alex McConnachie; Carol Emslie; Laura Lee; Nora Kearney; Andrew Walker; Diana Ritchie
Journal:  BMJ       Date:  2007-02-16

8.  Using Social Media Data to Understand the Impact of Promotional Information on Laypeople's Discussions: A Case Study of Lynch Syndrome.

Authors:  Jiang Bian; Yunpeng Zhao; Ramzi G Salloum; Yi Guo; Mo Wang; Mattia Prosperi; Hansi Zhang; Xinsong Du; Laura J Ramirez-Diaz; Zhe He; Yuan Sun
Journal:  J Med Internet Res       Date:  2017-12-13       Impact factor: 5.428

  8 in total
  4 in total

1.  Oncofertility and Fertility Preservation in Cancer Patients Across the Twitterverse.

Authors:  Nayeli A Martinez-Ibarra; Yuly A Remolina-Bonilla; Hector H Buerba-Vieregge; Regina Barragan-Carrillo; Francisco J Castro-Alonso; Samantha Mateos-Corella; Maria T Bourlon
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-29       Impact factor: 6.055

2.  Using patient-reported health data from social media to identify diverse lupus patients and assess their symptom and medication expressions: A feasibility study.

Authors:  Swamy Venuturupalli; Amit Kumar; Alden Bunyan; Nikhil Davuluri; Natalie Fortune; Katja Reuter
Journal:  Arthritis Care Res (Hoboken)       Date:  2022-02-14       Impact factor: 5.178

3.  Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study.

Authors:  Katja Reuter; Praveen Angyan; NamQuyen Le; Thomas A Buchanan
Journal:  JMIR Form Res       Date:  2021-11-26

4.  Exploring Eating Disorder Topics on Twitter: Machine Learning Approach.

Authors:  Sicheng Zhou; Yunpeng Zhao; Jiang Bian; Ann F Haynos; Rui Zhang
Journal:  JMIR Med Inform       Date:  2020-10-30
  4 in total

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