Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter.

BACKGROUND: Human papillomavirus (HPV) is the most common sexually transmitted infection in the United States. There are several vaccines that protect against strains of HPV most associated with cervical and other cancers. Thus, HPV vaccination has become an important component of adolescent preventive health care. As media evolves, more information about HPV vaccination is shifting to social media platforms such as Twitter. Health information consumed on social media may be especially influential for segments of society such as younger populations, as well as ethnic and racial minorities. OBJECTIVE: The objectives of our study were to quantify HPV vaccine communication on Twitter, and to develop a novel methodology to improve the collection and analysis of Twitter data. METHODS: We collected Twitter data using 10 keywords related to HPV vaccination from August 1, 2014 to July 31, 2015. Prospective data collection used the Twitter Search API and retrospective data collection used Twitter Firehose. Using a codebook to characterize tweet sentiment and content, we coded a subsample of tweets by hand to develop classification models to code the entire sample using machine learning procedures. We also documented the words in the 140-character tweet text most associated with each keyword. We used chi-square tests, analysis of variance, and nonparametric equality of medians to test for significant differences in tweet characteristic by sentiment. RESULTS: A total of 193,379 English-language tweets were collected, classified, and analyzed. Associated words varied with each keyword, with more positive and preventive words associated with HPV vaccine and more negative words associated with name-brand vaccines. Positive sentiment was the largest type of sentiment in the sample, with 75,393 positive tweets (38.99% of the sample), followed by negative sentiment with 48,940 tweets (25.31% of the sample). Positive and neutral tweets constituted the largest percentage of tweets mentioning prevention or protection (20,425/75,393, 27.09% and 6477/25,110, 25.79%, respectively), compared with only 11.5% of negative tweets (5647/48,940; P CONCLUSIONS: Examining social media to detect health trends, as well as to communicate important health information, is a growing area of research in public health. Understanding the content and implications of conversations that form around HPV vaccination on social media can aid health organizations and health-focused Twitter users in creating a meaningful exchange of ideas and in having a significant impact on vaccine uptake. This area of research is inherently interdisciplinary, and this study supports this movement by applying public health, health communication, and data science approaches to extend methodologies across fields

The New Age of Stigma and Social Support: A Mixed-Methods Analysis of Social Media Communication about Mental Health

Background/Purpose: Mental illness is highly stigmatized and viewed negatively by the public. Stigma is associated with several poor health outcomes for persons living with mental illness, which can be mitigated through social support. Media exposure shapes the public’s knowledge, attitudes, and beliefs. Therefore, people may develop stigmatizing attitudes through media exposure. Studies of mental illness stigma have historically focused on traditional media, such as print news, which often perpetuate stigma. The purpose of this dissertation is to provide novel methods through which to examine mental illness stigma and social support by exploring these topics across multiple social media platforms. Methodology: This dissertation employed Twitter, Instagram, and qualitative interview data to explore mental illness stigma and social support through current events, geographic location, and responses to the culture of social media. This mixed-methods approach used content analysis of social media and qualitative interview data, as well as machine learning techniques, to describe the ways in which stigma and social support manifest on these platforms. Results: We found that social media content contained both overt and covert mental illness stigma and that some of this stigma was counteracted by displays of social support, which were prominent during high volume communication periods on social media. However, stigma on social media demonstrated a potential to be internalized as self-stigma, which was shown to be discouraging to support-seeking on these platforms. Conclusions: This research demonstrates the need for mental health advocacy on social media at both the individual and organizational levels. Considering these findings, advocates should mobilize on social media during current events related to mental health. Advocacy should be defined by stigma reduction, displays of social support, and encouragement of support seeking on these platforms.Dr.P.H., Community Health and Prevention -- Drexel University, 201

Awareness of Alcohol and Cancer Risk and the California Proposition 65 Warning Sign Updates: A Natural Experiment

In 1986, California enacted Proposition 65 (P65), requiring businesses to display warning signs informing consumers that specific chemicals and alcohol exposure increase the risk of cancer and reproductive harm. In 2018, the P65 alcohol warning signs were updated to include an informational P65 website link, and the update was associated with media coverage and increased enforcement of warning requirements. This study examines knowledge of the association between alcohol use and cancer risk in California compared to the rest of the US before and after the 2018 P65 update. We analyzed state-level data on alcohol and cancer knowledge from the Health Information National Trends Survey from 2017 (n = 3285), 2019 (n = 5438), and 2020 (n = 3865). We performed multinomial logistic regressions to examine knowledge levels by survey year and location (California vs. all other states) and reported the predicted marginals of knowledge by survey year and location. The adjusted prevalence of respondents who reported an association between alcohol and cancer risk was higher in California (41.6%) than the remaining states (34.1%) (p = 0.04). However, knowledge levels decreased significantly over survey years, and there was no evidence for an effect of the P65 update on knowledge in California compared to other states based on the testing of an interaction between state and year (p = 0.32). The 1986 warning signs may have had an enduring effect on awareness, though the update, so far, has not. Further efforts are needed to determine how to increase alcohol and cancer knowledge to address the burden of alcohol-attributable cancers