An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media

Liang, Yunji; Zhou, Xingshe; Zeng, Daniel; Guo, Bin; Zheng, Xiaolong; Yu, Zhiwen

doi:10.1109/jsyst.2014.2304706

Cited by 13 publications

(6 citation statements)

References 20 publications

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“…Here, we define one interaction between user A and user B when user A comments (likes or shares) a post posted by user B. The dataset was collected by our implemented tobacco surveillance system in the spring of 2013 12 . According to the user interaction records, we construct an undirected weighted interaction graph G = { V, E }, where V = { v 1 ,v 2 ,…v i ,…v n } indicates users who interact with posts; E = { e 1 ,e 2 ,…,e i ,…e m } is the set of edges which connect v i and v j with interaction frequency w ij .…”

Section: Methodsmentioning

confidence: 99%

“…With more people embracing social media sites, particularly teenagers and youth adults, tobacco companies stand to benefit greatly from the marketing potential of social media. For example, cigarette promotion on Facebook and microblog Weibo 11 12 13 14 15 16 , pro-tobacco video clips on YouTube 17 18 19 20 21 22 and mobile applications (‘ishisha’ and ‘Cigar Boss’) are established venues for tobacco promotion 23 24 . There is some evidence to suggest that exposure to the pro-tobacco content may turn potential tobacco users into regular tobacco users 25 .…”

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confidence: 99%

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Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

Liang

Zheng

Zeng

et al. 2015

Sci Rep

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Social media is becoming a new battlefield for tobacco “wars”. Evaluating the current situation is very crucial for the advocacy of tobacco control in the age of social media. To reveal the impact of tobacco-related user-generated content, this paper characterizes user interaction and social influence utilizing social network analysis and information theoretic approaches. Our empirical studies demonstrate that the exploding pro-tobacco content has long-lasting effects with more active users and broader influence, and reveal the shortage of social media resources in global tobacco control. It is found that the user interaction in the pro-tobacco group is more active, and user-generated content for tobacco promotion is more successful in obtaining user attention. Furthermore, we construct three tobacco-related social networks and investigate the topological patterns of these tobacco-related social networks. We find that the size of the pro-tobacco network overwhelms the others, which suggests a huge number of users are exposed to the pro-tobacco content. These results indicate that the gap between tobacco promotion and tobacco control is widening and tobacco control may be losing ground to tobacco promotion in social media.

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Section: Methodsmentioning

confidence: 99%

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confidence: 99%

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

Liang

Zheng

Zeng

et al. 2015

Sci Rep

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“…From a technical standpoint, an online pro-tobacco content surveillance system is needed for the automatic collection and analysis of content relevant to tobacco [ 27 ]. With the progress of tobacco wars in social media, seamless online tobacco surveillance is vitally important to properly assess the current situation, the potential risks, and the kind of countermeasures to be taken.…”

Section: Discussionmentioning

confidence: 99%

Exploring How the Tobacco Industry Presents and Promotes Itself in Social Media

Liang¹,

Zheng²,

Zeng³

et al. 2015

J Med Internet Res

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BackgroundThe commercial potential of social media is utilized by tobacco manufacturers and vendors for tobacco promotion online. However, the prevalence and promotional strategies of pro-tobacco content in social media are still not widely understood.ObjectiveThe goal of this study was to reveal what is presented by the tobacco industry, and how it promotes itself, on social media sites.MethodsThe top 70 popular cigarette brands are divided into two groups according to their retail prices: group H (brands with high retail prices) and group L (brands with low retail prices). Three comprehensive searches were conducted on Facebook, Wikipedia, and YouTube respectively using the top 70 popular cigarette brands as keywords. We identified tobacco-related content including history and culture, product features, health warnings, home page of cigarette brands, and Web-based tobacco shops. Furthermore, we examined the promotional strategies utilized in social media.ResultsAccording to the data collected from March 3, 2014 to March 10, 2014, 43 of the 70 representative cigarette brands had created 238 Facebook fan pages, 46 cigarette brands were identified in Wikipedia, and there were over 120,000 pro-tobacco videos on YouTube, associated with 61 cigarette brands. The main content presented on the three social media websites differs significantly. Wikipedia focuses on history and culture (67%, 32/48; P<.001). Facebook mainly covers history and culture (37%, 16/43; P<.001) and major products (35%, 15/43), while YouTube focuses on the features of major tobacco products (79%, 48/61; P=.04) and information about Web-based shops (49%, 30/61; P=.004). Concerning the content presented by groups H and L, there is no significant difference between the two groups. With regard to the promotional strategies used, sales promotions exist extensively in social media. Sales promotion is more prevalent on YouTube than on the other two sites (64%, 39/61 vs 35%, 15/43; P=.004). Generally, the sale promotions of higher-cost brands in social media are more prevalent than those of lower-cost brands (55%, 16/29 vs 7%, 1/14; P<.001 for Facebook; 78%, 28/36 vs 44%, 11/25; P=.005 for YouTube).ConclusionsThe prevalence of cigarette brands in social media allows more pro-tobacco information to be accessed by online users. This dilemma indicates that corresponding regulations should be established to prevent tobacco promotion in social media.

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“…We transmit various emotional signals to communicate to and influence others. For instance, we usually unify our emotions to resist potential threats (e.g., unauthentic vaccination [ 3 , 4 ], illegal immigration [ 5 ], and bad customer experiences [ 6 , 7 ]) or to promote beneficial incidents (e.g., pro-social policies [ 8 ] and tobacco cessation [ 9 ]). In these scenarios, we always adjust our emotion states according to those of our friends via social interactions.…”

Section: Introductionmentioning

confidence: 99%

Exploring Entrainment Patterns of Human Emotion in Social Media

Zheng

Zeng

et al. 2016

PLoS ONE

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Emotion entrainment, which is generally defined as the synchronous convergence of human emotions, performs many important social functions. However, what the specific mechanisms of emotion entrainment are beyond in-person interactions, and how human emotions evolve under different entrainment patterns in large-scale social communities, are still unknown. In this paper, we aim to examine the massive emotion entrainment patterns and understand the underlying mechanisms in the context of social media. As modeling emotion dynamics on a large scale is often challenging, we elaborate a pragmatic framework to characterize and quantify the entrainment phenomenon. By applying this framework on the datasets from two large-scale social media platforms, we find that the emotions of online users entrain through social networks. We further uncover that online users often form their relations via dual entrainment, while maintain it through single entrainment. Remarkably, the emotions of online users are more convergent in nonreciprocal entrainment. Building on these findings, we develop an entrainment augmented model for emotion prediction. Experimental results suggest that entrainment patterns inform emotion proximity in dyads, and encoding their associations promotes emotion prediction. This work can further help us to understand the underlying dynamic process of large-scale online interactions and make more reasonable decisions regarding emergency situations, epidemic diseases, and political campaigns in cyberspace.

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An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media

Cited by 13 publications

References 20 publications

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

Exploring How the Tobacco Industry Presents and Promotes Itself in Social Media

Exploring Entrainment Patterns of Human Emotion in Social Media

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