TY - GEN
T1 - What Are IBD Patients Talking About on Twitter?
AU - Stemmer, Maya
AU - Parmet, Yisrael
AU - Ravid, Gilad
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - In recent years, social networking sites and online communities have served as alternate information sources for patients, who use social media to share health and treatment information, learn from each other’s experiences, and provide social support. This research aimed to investigate what patients with Inflammatory Bowel Disease (IBD) are talking about on Twitter and to learn from the experimental knowledge of living with the disease they share online. We collected tweets of 337 IBD patients who openly tweeted about their disease on Twitter and used the Natural Language Understanding (NLU) module by IBM Cloud to apply category classification and keywords extraction to their tweets. To evaluate the results, we suggested a method for sampling the general population of Twitter users and forming a control group. We found statistically significant differences between the thematic segmentations of the patients and those of random Twitter users. We identified keywords that patients frequently use in the contexts of health, fitness, or nutrition, and obtained their sentiment. The results of the research suggest that the personal information shared by IBD patients on Twitter can be used to understand better the disease and how it affects patients’ lives. By leveraging posts describing patients’ daily activities and how they influence their wellbeing, we can derive complementary knowledge about the disease that is based on the wisdom of the crowd.
AB - In recent years, social networking sites and online communities have served as alternate information sources for patients, who use social media to share health and treatment information, learn from each other’s experiences, and provide social support. This research aimed to investigate what patients with Inflammatory Bowel Disease (IBD) are talking about on Twitter and to learn from the experimental knowledge of living with the disease they share online. We collected tweets of 337 IBD patients who openly tweeted about their disease on Twitter and used the Natural Language Understanding (NLU) module by IBM Cloud to apply category classification and keywords extraction to their tweets. To evaluate the results, we suggested a method for sampling the general population of Twitter users and forming a control group. We found statistically significant differences between the thematic segmentations of the patients and those of random Twitter users. We identified keywords that patients frequently use in the contexts of health, fitness, or nutrition, and obtained their sentiment. The results of the research suggest that the personal information shared by IBD patients on Twitter can be used to understand better the disease and how it affects patients’ lives. By leveraging posts describing patients’ daily activities and how they influence their wellbeing, we can derive complementary knowledge about the disease that is based on the wisdom of the crowd.
KW - Inflammatory Bowel Disease (IBD)
KW - Natural Language Understanding (NLU)
KW - Sentiment analysis
KW - Thematic analysis
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85126364624&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-94209-0_18
DO - 10.1007/978-3-030-94209-0_18
M3 - Conference contribution
AN - SCOPUS:85126364624
SN - 9783030942083
T3 - Communications in Computer and Information Science
SP - 206
EP - 220
BT - ICT for Health, Accessibility and Wellbeing - 1st International Conference, IHAW 2021, Revised Selected Papers
A2 - Pissaloux, Edwige
A2 - Papadopoulos, George Angelos
A2 - Achilleos, Achilleas
A2 - Velázquez, Ramiro
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Conference on ICT for Health, Accessibility and Wellbeing, IHAW 2021
Y2 - 8 November 2021 through 9 November 2021
ER -