Visual Cancer Communication on Social Media: An Examination of Content and Effects of #Melanomasucks

Cho, Hyunyi; Silver, Nathan; Na, Kilhoe; Adams, Dinah; Luong, Kate T.; Song, Chi

doi:10.2196/10501

Cited by 40 publications

(42 citation statements)

References 42 publications

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“…Likes are a common social media metric of engagement and reach (Cho et al, 2018;Hong, Chen, & Li, 2017). Through our analysis of likes, we identified several high-engagement post characteristics, adding to a "sparse" body of literature on content characteristics that predict the number of likes (Cho et al, 2018). The prototypic "most popular" post was anti-vaccine, showed a vaccine-eligible male, featured a combination of text and imagery, and included personal narrative.…”

Section: Post Engagementmentioning

confidence: 99%

Characterizing HPV Vaccine Sentiments and Content on Instagram

et al. 2019

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Background. With its growing popularity, inclusion of image and text, and user-friendly interface, Instagram is uniquely positioned for exploring health behaviors and sources and types of informational exposure related to the human papillomavirus (HPV) vaccine. Aims. To characterize public Instagram posts about the HPV vaccine and quantify the impact of sentiment and context on engagement via likes. Method. Using Netlytic, 3,378 publicly available English-language posts were collected using the search terms “#HPV,” “#HPVVaccine,” and “#Gardasil.” We randomly selected 1,200 posts to content analyze. Our final analytic sample included 360 posts after excluding posts whose links were no longer active ( n = 221) or that were not relevant ( n = 619). Results. A higher proportion of posts were pro-vaccine (55.8%) than anti-vaccine (42.2%). Pro-HPV vaccination posts were liked significantly less than anti-vaccination posts (24 vs. 86 likes; p < .001). More posts contained actionable information/resources (63.9%) than personal narrative elements (36.1%). Less than one in three posts (30.0%) came from health-related sources. Discussion. Pro-vaccine posts were more prevalent on Instagram, and anti-vaccine posts had higher engagement and typically included misleading information about the HPV vaccine. Personal narratives skewed toward anti-vaccine sentiments and most were produced by individual users. Pro-vaccine narratives portrayed individuals who received the vaccine, but provided limited details on vaccine experiences, starkly contrasting with the depth of details in anti-vaccine personal narrative posts. Conclusion. On Instagram, individuals and organizations have an opportunity to promote HPV vaccination by continuing to provide informational resources in addition to creating more narrative-style posts.

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Section: Post Engagementmentioning

confidence: 99%

Characterizing HPV Vaccine Sentiments and Content on Instagram

et al. 2019

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“…Currently, it is still challenging to bring together disparate data streams generated by patients from technologies such as smartphones, social media platforms, wearable activity trackers, and Internet of Things (IoT) devices such as smart home sensors. However, multiple studies have begun to demonstrate the value of employing digital health technologies to improve cancer prevention and care 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 .…”

Section: Resultsmentioning

confidence: 99%

“…In terms of engagement, Cho et al, examined the relationship between melanoma-related Instagram posts and engagement outcomes (i.e., likes, comments, social support). They found that posts about physical consequences decreased the number of "likes" but increased comments and perceived emotional support, and that the inclusion of images increased the number of comments made about the posts [10]. Overall, these highlighted studies contribute to an understanding of participative engagement and experiences on social media platforms for written and visual cancer-related content that is user-generated, and suggest that patients may have varied experiences related to social support across platforms and communities.…”

Section: Digital Healthmentioning

confidence: 89%

“…In addition to being a vehicle to deliver interventions, social media can be used for behavioral surveillance. Several studies explored communications within patient communities with the most common posts or tweets on the topics of clinical trials, treatment, and support [7][8][9][10]. Taylor et al found evidence of differing levels of emotional, informational, and social support for patients with lung cancer across platforms (i.e., Facebook, Twitter, Macmillan.org.uk) [9], which may be due to differences in user characteristics or the nature of self-moderating communities.…”

Section: Digital Healthmentioning

confidence: 99%

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From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care

et al. 2020

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Objectives: Conduct a survey of the literature for advancements in cancer informatics over the last three years in three specific areas where there has been unprecedented growth: 1) digital health; 2) machine learning; and 3) precision oncology. We also highlight the ethical implications and future opportunities within each area. Methods: A search was conducted over a three-year period in two electronic databases (PubMed, Google Scholar) to identify peer-reviewed articles and conference proceedings. Search terms included variations of the following: neoplasms[MeSH], informatics[MeSH], cancer, oncology, clinical cancer informatics, medical cancer informatics. The search returned too many articles for practical review (23,994 from PubMed and 23,100 from Google Scholar). Thus, we conducted searches of key PubMed-indexed informatics journals and proceedings. We further limited our search to manuscripts that demonstrated a clear focus on clinical or translational cancer informatics. Manuscripts were then selected based on their methodological rigor, scientific impact, innovation, and contribution towards cancer informatics as a field or on their impact on cancer care and research. Results: Key developments and opportunities in cancer informatics research in the areas of digital health, machine learning, and precision oncology were summarized. Conclusion: While there are numerous innovations in the field of cancer informatics to advance prevention and clinical care, considerable challenges remain related to data sharing and privacy, digital accessibility, and algorithm biases and interpretation. The implementation and application of these findings in cancer care necessitates further consideration and research.

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“…Fung et al [ 18 ] also analyzed the content of Zika-related photos and found that its prevention, its effects on pregnancy, and the deaths associated with it were major categories. Instagram posts with the #melanomasucks tag were analyzed by Cho et al [ 19 ], with the most frequent content being controlling melanoma and the effects of having melanoma. Nobles et al [ 14 ] examined the demographic profile of faces in Instagram posts with the #HIV tag and compared it with the profile of those at most risk of a new HIV diagnosis.…”

Section: Related Workmentioning

confidence: 99%

#Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses

Kim

Song

Lee

2020

IJERPH

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A dramatic increase has been registered in the number of social media posts in photo form as well as in hashtag activism. Hashtags, which manifest thoughts and feelings clearly and concisely, originated on Twitter, where the length of a post is limited; their use, however, has expanded into other social media services, including Instagram. Hashtags, which make it easy to find and express support for posts of interest, have been widely used for online activism, although they have been criticized for fostering confirmation bias. Moreover, hashtag activism in photo form has been relatively understudied. This research analyzed Instagram photos with antivaccination hashtags as an example of hashtag activism through photos. In addition, we examined how the photo features were related to public response, which was manifested via engagement and comment sentiment. The results suggest that the photos which were categorized into “text” took the largest share. It was also found that the major way of claiming was to imprint key messages that persuade people not to vaccinate with remarks from professionals on photos and provide a source of supporting information in the post text with hashtags of antivaccine intention. Various photo features showed associations with engagement and comment sentiment, but the directions of correlation were usually the opposite: these results suggest that engagement and comment sentiment are separate domains that reveal different public responses.

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Visual Cancer Communication on Social Media: An Examination of Content and Effects of #Melanomasucks

Cited by 40 publications

References 42 publications

Characterizing HPV Vaccine Sentiments and Content on Instagram

Characterizing HPV Vaccine Sentiments and Content on Instagram

From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care

#Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses

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