Reddit and Radiation Therapy: A Descriptive Analysis of Posts and Comments Over 7 Years by Patients and Health Care Professionals

Thomas, Joel; Prabhu, Arpan V.; Heron, Dwight E.; Beriwal, Sushil

doi:10.1016/j.adro.2019.01.007

Cited by 20 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Machine and deep-learning approaches based on sentiment and semantic analysis are popular methods of analysing textcontent in online health forums. Many researchers have used these methods on social media such as Twitter, reddit [2]- [7], and health information websites [8], [9]. For example; Halder and colleagues [10] focused on exploring linguistic changes to analyse the emotional status of a user over time.…”

Section: Related Workmentioning

confidence: 99%

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Jelodar

Wang

Orji

et al. 2020

IEEE J. Biomed. Health Inform.

319

166

View full text Add to dashboard Cite

Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and share information with each other. In late December 2019, an outbreak of a novel coronavirus (infection from which results in the disease named COVID-19) was reported, and, due to the rapid spread of the virus in other parts of the world, the World Health Organization declared a state of emergency. In this paper, we used automated extraction of COVID-19-related discussions from social media and a natural language process (NLP) method based on topic modeling to uncover various issues related to COVID-19 from public opinions. Moreover, we also investigate how to use LSTM recurrent neural network for sentiment classification of COVID-19 comments. Our findings shed light on the importance of using public opinions and suitable computational techniques to understand issues surrounding COVID-19 and to guide related decision-making. In addition, experiments demonstrated that the research model achieved an accuracy of 81.15%-a higher accuracy than that of several other well-known machine-learning algorithms for COVID-19-Sentiment Classification.

show abstract

Section: Related Workmentioning

confidence: 99%

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Jelodar

Wang

Orji

et al. 2020

IEEE J. Biomed. Health Inform.

319

166

View full text Add to dashboard Cite

show abstract

“…Reddit content analyses on different health topics (oncologic radiotherapy, 15 dermatology, 19 gout 20 ) depict Reddit mostly as an "adviceseeking platform" for users affected by different medical problems.…”

Section: Discussionmentioning

confidence: 99%

“…This reflects the same concerns that users discuss on Reddit in relation to other health issues. 15,20 Also, most YouTube videos about TMD focuses on treatment strategies. 13 Based on a qualitative observation from the authors, the main concern of users is to find a long-term solution for their TMD-related pain.…”

Section: Discussionmentioning

confidence: 99%

“…scientifically valid information while others share content that aligns with non-evidence-based TMD practices such as "neuromuscular dentistry." Thomas et al found that despite healthcare professional do not participate frequently on Reddit discussion, when they do so, their comments are highly valued by other users 15. Social media brought a new dimension to healthcare, expanding the patient-doctor relationship beyond the clinical office.…”

mentioning

confidence: 99%

See 1 more Smart Citation

The role of social media for patients with temporomandibular disorders: A content analysis of Reddit

Bronda

Ostrovsky

Jain

et al. 2021

J of Oral Rehabilitation

View full text Add to dashboard Cite

Background Social media is frequently used to discuss health topics among users. Reddit is a popular social media platform particularly suit for discussion about chronic illness because of its anonymity that allow users to express uninhibited feelings. Temporomandibular disorders (TMD) represent a chronic painful disorder which has been rarely studied in terms of social media discussion. Objectives By exploring how Reddit is used to discuss about TMD, we aim to raise awareness to clinicians involved in TMD management about the online discussion on this topic. Methods A quantitative content analysis was performed on a pool of most relevant threads and comments about the topic “TMJ” on Reddit. Following a codebook, two independent coders assessed multiple clinically relevant variables. A third subject resolved eventual discrepancies. Results Reddit is mostly used by subjects with TMD asking for advice to other users about symptoms and treatment modalities. The most discussed causes of TMD were bruxism and dental occlusion, and the most discussed treatments were oral appliance therapy and complementary and alternative treatments. The most favourable opinions about treatment modalities were for self‐care and behavioural therapy while the least favourable opinions were for surgery and irreversible dental treatments. Conclusions Reddit represents an excellent data‐mining platform to retrieve valuable information about health‐related discussion by the community. Our findings suggest an overall alignment of such discussion with evidence‐based science about TMD; however, to further increase this trend, we encourage healthcare provider to take an active role in the digital spread of scientifically valid information.

show abstract

“…Although the online patient communities emphasize that “online advice can never replace an actual medical examination”, and that all posts should be moderated by self-identified ophthalmologists that may either approve comments to be posted or rejected, the largest presence on Social Media are the Patient advocacy groups that are most likely to address to the general public and not necessarily to ophthalmic professionals with tweets and posts about medical issues, prevention and education measures, educational events, fundraising opportunities, and recent advances in eye research [ 23 ]. On Social Media, there is a risk of spreading inaccurate advice and information that might inappropriately increase ophthalmic patients’ anxiety or even have greater consequences such as missing an important diagnosis [ 28 , 29 ]. In general, patient education topics on Social Media should be checked by board-certified ophthalmologists or optometrists and archived on the Social Media groups for potential health care consumers to access, as in the rapidly developing era of teleophthalmology, this online environment should become an ally to practicing clinicians.…”

Section: Challenges Of Social Media For Consumers Of Ophthalmology Servicesmentioning

confidence: 99%

Trick or treat: Social Media’s dissemination power of ophthalmologic information in the pandemic context

Gheorghe

Purcărea

Gheorghe

2021

rjo

View full text Add to dashboard Cite

Reddit and Radiation Therapy: A Descriptive Analysis of Posts and Comments Over 7 Years by Patients and Health Care Professionals

Abstract: Reddit is a social media platform that allows health care professionals (HPs) to anonymously interact with patients. We analyzed content about radiation therapy (RT) on Reddit.

Cited by 20 publications

References 24 publications

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

The role of social media for patients with temporomandibular disorders: A content analysis of Reddit

Trick or treat: Social Media’s dissemination power of ophthalmologic information in the pandemic context

Contact Info

Product

Resources

About