Which health and biomedical topics generate the most Facebook interest and the strongest citation relationships?

Mohammadi, Ehsan; Gregory, Karl; Thelwall, Michael; Barahmand, Nilofar

doi:10.1016/j.ipm.2020.102230

Cited by 25 publications

(16 citation statements)

References 53 publications

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“…Similarly, there is increased interest in the field of altmetrics to develop methods for identifying and measuring the societal impacts of research, one of which is social network analysis [ 30 ]. Recent advances in the field of altmetrics include identifying Facebook as an important yet underestimated medium for science and scholarly communication [ 31 , 32 ]. Additionally, analyses of user profiles as well as Facebook and Twitter post content and number of posts, show that non-academics do post and share links to research articles, and a diffusion of knowledge from scholars to the general public does exist in a wide range of academic disciplines [ 33 – 35 ].…”

Section: Discussionmentioning

confidence: 99%

Diffusing science through social networks: The case of breastfeeding communication on Twitter

et al. 2020

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Breastfeeding is one of many health practices known to support the survival and health of mother and infant, yet low breastfeeding rates persist globally. These rates may be influenced by limited diffusion of evidence-based research and guidelines from the scientific community (SC). As recently highlighted by the National Academy of Sciences, there is a need for the SC to diffuse its findings to the public more effectively online, as means to counteract the spread of misinformation. In response to this call, we gathered data from Twitter for one month from major breastfeeding hashtags resulting in an interconnected social network (n = 3,798 users). We then identified 59 influencers who disproportionately influenced information flow using social network analysis. These influencers were from the SC (e.g. academics, researchers, health care practitioners), as well as interested citizens (IC) and companies. We then conducted an ego-network analysis of influencer networks, developed ego maps, and compared diffusion metrics across the SC, IC and company influencers. We also qualitatively analyzed their tweets (n = 711) to understand the type of information being diffused. SC influencers were the least efficient communicators. Although having the highest tweeting activity (80% of tweets), they did not reach more individuals compared to IC and companies (two-step ego size: 220± 99, 188 ± 124, 169 ± 97 respectively, P = 0.28). Content analysis of tweets suggest IC are more active than the SC in diffusing evidence-based breastfeeding knowledge, with 35% of their tweets around recent research findings compared to only 12% by the SC. Nonetheless, in terms of outreach to the general public, the two-step networks of SC influences were more heterogenous than ICs (55.7 ± 5.07, 50.9 ± 12.0, respectively, P<0.001). Collectively, these findings suggest SC influencers may possess latent potential to diffuse research and evidence-based practices. However, the research suggests specific ways to enhance diffusion.

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Section: Discussionmentioning

confidence: 99%

Diffusing science through social networks: The case of breastfeeding communication on Twitter

et al. 2020

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“…Also it is important not to see any necessary relationship between the number of comments on a post and the number of reads and indeed interest. Facebook user activities including like, comment, share are related to posting time as well as general interests of public at that time/period, most studies have investigated Facebook page to understand the user thought and how effectiveness and efficiency for the post [ 20 – 24 ]. Thus, we consider that each comment on the post either positive or negative response regarded as which post were attracted the attention of the public compared the public who did not response, so this quantitative study shows the relatively potential interactions between agencies, policies, and the interest of the public.…”

Section: Discussionmentioning

confidence: 99%

Understanding public interest and needs in health policies through the application of social network analysis on a governmental Facebook fan page

Huang

Chiu

2020

BMC Public Health

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Background This study analyzed the interactions between agencies, policies, and the interest of the public using a social network analysis. Methods Open data on the 2017 Facebook fan page of the Ministry of Health and Welfare (MoHW) in Taiwan, including 18,193 messages, were analyzed by conducting a social network analysis, NodeXL (Network Overview, Discovery and Exploration for Excel), creating visualized explorations using size volumes to present the degree of strength between agencies and policies to further calculate the network centrality indicators of agencies and policies. Results Agencies of the “Social and Family Affairs Administration” and “Health Promotion Administration” contributed the most policy posts. The policy of “Physical and mental health promotion” entailed the most agencies to be involved. The “Department of Nursing and Health Care” received the largest public response, for which “Long-term care” received the most public interest. Conclusions A social network analysis of fan page of Taiwan’s top level health government agency can reveal the government’s most emphasized core policies, the strength of correlations between agencies and policies, and provide an understanding of public interest toward the policies.

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“…The data collection for this study was executed through a quantitative approach by using a surveydevelopment website, specifically http://bit.ly/2w4QXEd. The users of Facebook were chosen as the primary target population since Facebook is the world's largest and most popular online Social Networking Sites (SNS) (Mohammadi et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Interpersonal Attraction Traits on Facebook

Bolong¹,

Attan²

2021

IJARBSS

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Many are using these social media nowadays to enhance the interpersonal relationships, regardless of an existing or a new friend. Facebook users are engaging in numerous ways to initiate or maintain interpersonal relationships, such as increasing the frequency of interactions, improving the quality of communications, and utilizing self-disclosure approaches through displaying interpersonal attraction traits, but do they agree on whether or not to display the traits of interpersonal attraction on Facebook? This study to identify the interpersonal attraction traits, highlighted by Facebook users in order to improve their interaction network through mediated-communication. By using a purposive sampling procedure, a total of 402 respondents who use Facebook, which was invited to fill out a questionnaire on a Google Form. Facebook users agreed that interpersonal attraction traits such as physical attraction, social attraction, extraversion, and popularity, should be highlighted; however, they have to be neutral in highlighting the traits. The findings of this study contribute towards advancing knowledge on reducing uncertainty due to interpersonal attraction traits and to meet the needs for creating a demanding community that facilitate the interactions of people with collective interests for social networking enhancement.

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Which health and biomedical topics generate the most Facebook interest and the strongest citation relationships?

Cited by 25 publications

References 53 publications

Diffusing science through social networks: The case of breastfeeding communication on Twitter

Diffusing science through social networks: The case of breastfeeding communication on Twitter

Understanding public interest and needs in health policies through the application of social network analysis on a governmental Facebook fan page

Interpersonal Attraction Traits on Facebook

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