Video Social Media Research Articles

Exposure to Community-Based Violence on Social Media among Black Male Emerging Adults Involved with the Criminal Justice System

Abstract The prevalence of community-based violence (CBV) exposure among black American male emerging adults ages 18 to 25 with a history of involvement with the criminal justice system is a major public health concern. Although exposure (whether as victim or witness) to CBV is linked with negative outcomes, empirical research examining black men’s negative emotional responses to seeing videos of real-life incidents of CBV on social media is scant. To address these identified concerns and make recommendations for future research, the present study examines the relationship between seeing videos of CBV on social media and three types of negative emotional responses (that is, feeling sad, angry, and fearful) prior to incarceration among a sample of 101 black men detained in a midwestern jail. Social media use and seeing videos of CBV on social media were moderately high for study participants. Seeing a video involving police violence was significantly associated with an increase in the odds of feeling sad, angry, and fearful. Social media research is an emerging area that has the potential to advance our understanding of the impact of seeing social media videos of police violence on the well-being of black men and factors that mediate or moderate this relationship.

Foreshadowing the Future of Capitalism: Surveillance Technology and Digital Realism in Xu Bing’s Dragonfly Eyes

How has the development of surveillance technology and its normalized intervention into our social structures and daily lives impact our imagination of the future? Does the “total view” of the intense yet impassive gaze of surveillance cameras, combined with the mediated intimacy of social media videos, foreshadow deeper social alienation or the fulfillment of individual desire? In order to address such questions, I take the Chinese artist Xu Bing and his team’s film Dragonfly Eyes (Qingting zhi yan, 2017) and its surrounding media culture as a case study to demonstrate how surveillance footage and various modes of cinematic ontology, digital realism, and temporality work in a contemporary socio-political-medial context. Composed by Xu and a group of collaborators, Dragonfly Eyes is the only existing feature-length fiction film constructed completely from surveillance footage. As a highly reflexive film, Dragonfly epitomizes and embodies the precarious potentials of the digital future of capitalism, both invigorating and bleak, expressive and corrupt.

Walls and Cows: Social Media, Vigilante Vantage, and Political Discourse

Vigilante groups in the United States and India have used social media to distribute their content and publicize violent spectacles for political purposes. This essay will tackle the spectacle of vigilante lynchings, abduction, and threats as images of vigilante violence are spread online in support of specific candidates, state violences, and election discourse. It is important to understand the impact of not only these vigilante groups, but understand the communicative spectacle of their content. Using Leo R. Chavez’s understanding of early 2000s vigilante action as spectacle in service of social movements, this essay extends the analysis to modern vigilante violence online content used as dramatic political rhetoric in support of sitting administrations. Two case studies on modern vigilante violence provide insight into this phenomenon are as follows: (1) Vigilante nativist militia groups across the United States in support of border militarization have kidnapped migrants in the Southwest desert, documenting these incidents to show support for the Trump Administration and building of a border wall and (2) vigilante mobs in India have circulated videos and media documenting lynchings of so-called “cow killers”; these attacks target Muslims in the light of growing Hindu Nationalist sentiment and political movement in the country. Localized disinformation and personal video allow vigilante content to spread across social media to recruit members for militias, as well as incite quick acts of mob violence. Furthermore, these case studies display how the social media livestreams and video allow representations of violence to become attention-arresting visual acts of political discourse.

Modeling the Sources of the 2018 Palu, Indonesia, Tsunami Using Videos From Social Media

AbstractThe 2018 Palu tsunami contributed significantly to the devastation caused by the associated 7.5 earthquake. This began a debate about how the moderate size earthquake triggered such a large tsunami within Palu Bay, with runups of more than 10 m. The possibility of a large component of vertical coseismic deformation and submarine landslides have been considered as potential explanations. However, scarce instrumental data have made it difficult to resolve the potential contributions from either type of source. We use tsunami waveforms derived from social media videos in Palu Bay to model the possible sources of the tsunami. We invert InSAR data with different fault geometries and use the resulting seafloor displacements to simulate tsunamis. The coseismic sources alone cannot match both the video‐derived time histories and surveyed runups. Then we conduct a tsunami source inversion using the video‐derived time histories and a tide gauge record as inputs. We specify hypothetical landslide locations and solve for initial tsunami elevation. Our results, validated with surveyed runups, show that a limited number of landslides in southern Palu Bay are sufficient to explain the tsunami data. The Palu tsunami highlights the difficulty in accurately capturing with tide gauges the amplitude and timing of short period waves that can have large impacts at the coast. The proximity of landslides to locations of high fault slip also suggests that tsunami hazard assessment in strike‐slip environments should include triggered landslides, especially for locations where the coastline morphology is strongly linked to fault geometry.

Designing and Implementing an Educational Social Media Campaign to Increase HPV Vaccine Awareness among Men on a Large College Campus

ABSTRACTBackground: The human papillomavirus (HPV) causes an estimated 11,600 males to contract HPV-associated cancers in the U.S. every year. Purpose: We describe the generalized results of a social media marketing campaign. The aim was to identify predictors of self-reported HPV vaccine uptake and target these predictors in a health education campaign for males on a large college campus. Methods: We conducted an observational cohort study that recorded surveys from 90 college males then analyzed these results to inform the implementation of a campus-wide social media campaign. The survey had good internal consistency (α = 0.83) and assessed the Health Belief Model and Theory of Planned Behavior. Results: The campaign reached an estimated 2,200 students with in-person presentations, 12,000 students with two student newspaper articles, and over 17,000 views of its three-part social media video series, which was shared 197 times by students and organizations at the university. After the campaign, our cohort survey demonstrated three of five health beliefs targeted had significantly improved: perceived susceptibility (p < .01), perceived severity (p < .05), and self-efficacy (p < .01). Discussion: Our study reports the generalized findings of an evidence-based, reproducible approach to implementing an educational campaign on a college campus. Translation to Health: Education Practice: This model for social media marketing and student engagement can be replicated by other university health centers for education of males about vaccines and other chronic diseases.

Social Media and Democracy: Fostering Political Deliberation and Participation

A democracy extends beyond partisan politics. The current study examines how a social media video about the environment can spark political deliberation and participation. Drawing from normative democratic theory, an experimental design was employed to test the effect of the video in engaging citizens in the political process and fostering interpersonal conversations, both online and face-to-face. At the core of these normative democratic outcomes is information efficacy, as individuals are moved to discuss the issue and act to protect the environment from the threat of single-use plastics. The results reveal that social media have the potential to have a positive democratic influence.

Connecting with Nature in the Digital Age: Intentions of Adolescents in California Urban Areas

Automated devices dominate the daily experience for most people in the United States, and for many, nature offers a respite ripe with well-documented emotional, psychological, and physical benefits. However, opportunities with and access to open spaces can be limited by structural barriers that often create limits to engagement by people living in urban areas. A first stage of this project initiated with listening sessions and workshops with youth in urban and rural settings in southern and central California as a means of crafting effective marketing strategies designed by youth to engage young people of color with nature and open spaces. The second stage, reported here, was implemented to examine the effects of race/ethnicity and social media video messaging on Theory of Planned Behavior (TPB) dimensions. Using a quasi-experimental design, panels of urban youth aged 12-16 in four California cities participated in an online panel survey. Participants were randomly assigned to one of three themed message groups generated from the content themes developed by youth during the workshops (escape and unplug, connect with family and friends, or discover and adventure) or a control group. The questionnaire included 11 items related to the TPB. Separate 4x4 ANOVAs with race/ethnicity and the treatments/control group as the independent variables and TPB dimensions as the dependent variables revealed an interaction effect for one perceived behavioral control item. There were also significant differences by race/ethnicity on all four TPB dimensions. Mean scores of the respondents who watched one of the three videos were higher than the control group for all 11 TPB items measured. TPB item scores among White and Black respondents were typically higher than scores for Asian and Latinx respondents. Results of a hierarchical regression analysis with race/ethnicity, treatments/control group, perceived behavioral control, attitudes, and social norms as the independent variables and behavioral intentions as the dependent variable suggested that attitudes and social norms were the strongest predictors of behavioral intentions. The results add significant value in the practical application of the intersection between automated devices and social media marketing for engaging underrepresented groups in the digital age. Subscribe to JPRA

Social media video summarization using multi-Visual features and Kohnen's Self Organizing Map

Social networking tools such as Facebook, YouTube, Twitter, and Instagram, are becoming major platforms for communication. YouTube as one of the primary video sharing platform serves over 100 million distinct videos, 300 hours of videos are uploaded on YouTube every minute along with textual data. This massive amount of multimedia data needs to be managed with high efficiency, the irrelevant and redundant data needs to be removed. Video summarization ideals with the problem of redundant data in a video. A summarized video contains the most distinct frames which are termed as key frames. Most of the research work on key frames extraction considers only a single visual feature which is not sufficient for capturing the full pictorial details and hence affecting the quality of video summary generated. So there is a need to explore multiple visual features for key frames extraction. In this research work a key frame extraction technique based upon fusion of four visual features namely: correlation of RGB color channels, color histogram, mutual information and moments of inertia is proposed. Kohonen Self Organizing map as a clustering approach is used to find the most representative frames from the list of frames coming after fusion. Useless frames are discarded and frames having maximum Euclidean distance within a cluster are selected as final key frames. The results of the proposed technique are compared with the existing video summarization techniques: User generated summary, Video SUMMarization (VSUMM), and Video Key Frame Extraction through Dynamic Delaunay Clustering (VKEDDCSC) which shows a considerable improvement in terms of fidelity and Shot Reconstruction Degree (SRD) score.

Ria Ricis and New Platform of Islamic Popular Culture

Not only change the landscape of popular culture, but the presence of social media also reshapes the structure and the agency. Nowadays, social media can turn ordinary people to celebrities. Using Instagram and YouTube, Ria Ricis has become a piety celebrity who shows her Islamic identity through Islamic performance by wearing the veil in a casual way and earns money from her uploaded videos in social media. Based on a case study of this figure, this paper raises questions related to Islamic popular culture in Indonesia: How does Indonesian define their public sphere currently amid the growth of social media usage? How does Indonesian Muslim respond to social media as a part of digital technology amidst Islamization in the post of an authoritarian regime? What is the possibility of tension for that young Indonesian Muslim as micro-celebrity while facing the three factors related, Islamic identities, enjoyment, and economic benefits? This paper argues that the new media platform has not only affected Indonesian Muslims’ lifestyles, but also the way in which they negotiate Islamic values, secular life, and economic interest. Keywords: Ria Ricis, Social Media, Islamic Popular Culture, and Digital Economy

103 Mizzou Repro: Exploring short-form video communication on social media platforms to improve the reach of Extension

Abstract Extension is a vital component of the Land Grant mission, facilitating transfer of knowledge and technology to end users. However, traditional Extension publications, particularly print, reach an ever-shrinking audience. With each new generational transfer of farm management, decision-makers in animal agriculture are less familiar with Extension as an authoritative source of information. As a consequence, producers may be more likely to receive misinformation from less reliable yet more readily accessible sources online, such as forums, blogs, or social media posts. In an attempt to address this challenge, we have explored use of program-specific Extension communications through social media platforms (YouTube, Facebook, Instagram, and Twitter). We hypothesized that video content in particular would result in significant viewership due to organic sharing behavior. Accounts were created using Mizzou Repro as branding, with content specifically focused on University of Missouri Extension efforts related to reproductive management of beef cattle. Videos are approximately 2 min (range 1.8 to 2.7 min) and are designed to communicate a single concept thoroughly but concisely. Scripts are prepared in advance, but videos feature a rotating speaker, typically a faculty member, graduate student, or Extension field specialist. To retain viewer interest for the full duration, videos incorporate changing camera angles, live animals, and graphs or figures. Of the platforms evaluated, content published on Facebook generated the most engagement (views, comments, and other interaction). Specifically, videos published to Facebook generated the most engagements as compared to other types of content such as photos or written text. In addition, we observed willingness of viewers to subscribe to future account posts, as well as significant interest from allied industry in sharing content with their audiences. Together, these observations suggest that social media videos and program-specific branding are effective tools to communicate Extension messages and build a long-term audience in the digital age.

Modelling Popularity Dynamics Based on YouTube Viewers and Subscribers

There are plenty of domains as far as research in social media is concerned; Social Network, Video social media, image social media, research/ professional social media and so on. In the present work, we have focused on YouTube which is one of the pioneering amongst video social media. We have modeled the popularity dynamics of YouTube videos based on the information spread amongst the netizens and the number of subscribers for a particular video. An alternative approach to reach to our proposal has also been provided. In practice, the pace of the spread of information might vary because of various reasons such as quality of information, word of mouth, social causes etc. This transformation has been inculcated in the aforesaid modeling and results obtained on the view-count data sets of YouTube videos are very promising.

Sentiment Analysis of Thai Sounds in Social Media Videos by using Support Vector Machine

Objective: To examine the sounds in Thai videos on YouTube, to analyze consumer opinion on beauty products. Statistical Analysis: The data was collected to analyze the sentiments of Thai sounds from 500 YouTube videos which were the reviews of beauty products; the length of each video being approximately 2-5 minutes. Findings: The accuracy rate of SVM (SVM) appears greater than those from the Naïve Bayes (NB) and K-Nearest Neighbor (KNN) techniques. The SVM used the RBF Kernel-typed Sequential Minimal Optimization (SMO) function, where c=50000 and gamma=0.1; the accuracy rate was 94.40%, when using K-fold Cross Validation, where K =10, that had 293 attributes. Application/Improvement: The SVM used the RBF Kernel-typed SMO function, where c=50000 and gamma=0.1; it can be applied to analysis of sentiments studies in social media derived from Thai videos which are evaluate processes need to be fast and able to provide negative, neutral, or positive results in a timely manner, in which it will become a purchase decision-making guide for consumers. Keywords: Sentiments Analysis, Social Media, Support Vector Machine (SVM), Thai Sound, Video

YouTube as a source of patient education in idiopathic pulmonary fibrosis: a media content analysis

ABSTRACTPurpose: Idiopathic pulmonary fibrosis (IPF) is a common cause of pulmonary fibrosis, with millions of individuals affected in the world. Patients may use multiple resources to educate themselves regarding their illness, including popular social media video hosting site YouTube. We set out to determine the quality of patient education material discussing IPF available on YouTube.Methods: 100 consecutive videos were surveyed for review, of which 59 were included in the final analysis. Three independent blinded reviewers were assigned to score each video on a scoring system designed along patient education material available publicly at the American Thoracic Society and the American College of Chest Physicians. Scores by each reviewer were compared to others using means, standard deviation, Cohen’s Kappa, and intra-class reliability.Results: Video content had a mean score of 5.9, SD 3.96 out of a maximum of 20 points. Cohen’s Kappa between the three raters was calculated to a value of 0.92 and Interclass reliability was 0.79 (0.70–0.86, 95% CI) indicating appropriateness of comparison between the three raters.Conclusion: Patient education material regarding IPF on YouTube was found deficient in quantity and quality. Providers should be aware of the best information resources available and utilize these to educate their patients.

Multimodal Age-Group Recognition for Opinion Video Logs using Ensemble of Neural Networks

With the wide spread usage of smartphones and social media platforms, video logging is gaining an increasing popularity, especially after the advent of YouTube in 2005 with hundred millions of views per day. It has attracted interest of many people with immense emerging applications, e.g. filmmak-ers, journalists, product advertisers, entrepreneurs, educators and many others. Nowadays, people express and share their opinions online on various daily issues using different forms of content including texts, audios, images and videos. This study presents a multimodal approach for recognizing the speaker’s age group from social media videos. Several structures of Artificial Neural Networks (ANNs) are presented and evaluated using standalone modalities. Moreover, a two-stage ensemble network is proposed to combine multiple modalities. In addition, a corpus of videos has been collected and prepared for multimodal age-group recog-nition with focus on Arabic language speakers. The experimental results demonstrated that combining different modalities can mitigate the limitations of unimodal recognition systems and lead to significant improvements in the results.

Social Media Video Creators Monetization and Business on YouTube

Today’s internet world has changed a lot from the previous decades. YouTube is one of the video sharing and streaming platform in social media which plays a vital role in internet users. In this paper discuss, how video creators will earn revenue from YouTube and what are the possible ways to generate revenue from it. Also, it explains how the advertisers will select the video and how the earnings will distribute to the video creators on YouTube. This review paper has sourced with many secondary data and comparison. Also, this paper deals with the revenue generation model on YouTube. It describes the types of ads on YouTube and the possible conversion rates of views into revenue. This article is helpful for those who are interested in video blogs, online business, e-commerce, etc to generate more income revenue by doing so.

Key Frame Extraction Techniques: A Survey

With the development of web 2.0 technologies, information based on social media video data has been growing day by day. Scrutinizing of such massive information is a very time-consuming process. Also each video contains vital information. So there is requirement of some technique which not only reduces the extraneous data in a video, but also retains the useful information in it. Hence there arises a demand for accessing such information. This demand leads to the evolution of the video key frame extraction, also known as video summarization. The key frame extraction provides a comprehensive analysis of video by eliminating redundant content from a video. Video summarization also helps in reducing the video content to be processed and better management of video data. It can be performed using audiovisual, textual and key frames. In this paper, the focus is on video summarization using key frame extraction. Extracted key frames have applications in the field of video browsing, indexing, management of video data, etc. In this paper, a review of major techniques in the field of video key frame extraction is presented.

Video Technologies Reshaping Social Media Sponsorship: New Metrics for Finding the Right Content Creator-Sponsor Matches

Social media video sponsorship, in which a sponsor forms a partnership with a content creator and sponsors video content, has become increasingly popular. Although the extant theoretical literature supports the importance of the congruency between the sponsor and sponsee in forming sponsor-sponsee matches, there has been limited empirical research on the actual construct of sponsor-sponsee congruency. Using rich data on sponsored and non-sponsored videos on Facebook, we build upon the associative link and complex network frameworks to introduce two marketing metrics, Content Similarity and Audience Closeness, which can help marketers to find effective creator-sponsor matches that generate high audience exposure. Content Similarity extends the Latent Dirichlet Allocation (LDA) model to measure video topic similarity between creators and sponsors. Audience Closeness measures how close two nodes (i.e., creator and sponsor) are in the network via Dijkstra’s algorithm. Content Similarity has positive effects on video views, and Audience Closeness has nonlinear and diminishing effects on video views. The interaction effects between the metrics reveal that the positive effect of Content Similarity on video views is stronger for sponsor-sponsee pairs with low Audience Closeness, and vice versa. The metrics can also be used in combination with other marketing strategies for synergistic interaction effects.

Constructing the ‘Right Image’: Visibility Management and the Palestinian Village of Susiya

This article focuses on the Palestinian Bedouin village of Susiya in the West Bank of the Occupied Palestinian Territories and the multi-agency efforts to save the village after the Israeli Civil Administration issued a full demolition order to all existing structures in 2012. By analysing a range of creative visual responses to the demolition order, including social media campaigns and video appeals, the paper examines the problematic nature over who and how to produce the ‘right image’ of the village and its struggle. Based upon fieldwork and interviews undertaken between 2013–2014 with activists and community workers, I identify how in an effort to overcome the separation between audience and distant spectator, a number of Non-Governmental Organisations (NGOs) and Human Rights Organisations (HROs), acting on behalf of the village, ultimately weakened rather than strengthened the representation of the villagers.

Always Be Converting: Moralizing a Postpurchase Funnel Media Environment

ABSTRACTThe ubiquity of digital communication channels such as social media platforms, video sites, and mobile apps has transformed the relational experience between audiences and brand entities. Whether engaging within a consumer goods market, a professional services industry, or a news and infotainment source, audiences and brand entities have inhabited a new ecosystem that has challenged the acceptance of the classic purchase funnel model pioneered by Elias St. Elmo Lewis. This article reviews the conception of a postpurchase funnel media environment and seeks to moralize its transaction-driven expediency in 3 ways. First, it explores the legitimacy of an audience-centric ecosystem as a theoretical substitute for the purchase funnel model. Second, it introduces MacIntyre’s concept of virtue ethics as a grounding moral philosophy in the postpurchase funnel environment. Finally, it reviews two cases of postpurchase funnel marketing abuses and recommends strategies that commit brand entities to a bilateral cooperation ethic with audiences.

Anticipating movie success through crowdsourced social media videos

Business houses and marketers have been relying on social media to affect consumer opinions and purchasing behavior. In this paper a framework has been proposed to identify and quantify the emotive value of any movie trailer. The proposed framework made use of Dlib-ml (a machine learning toolkit) and a Genetic Algorithm inspired Support Vector Machine algorithm (GAiSVM) for parameter tuning and classification and emotive analysis of movie trailers. A case study comprising of 141 movies trailers released from Jan 1, 2017 till April 31, 2018 was done to investigate the relationship between emotive score of a movie trailer and financial returns associated with it. Results revealed a direct correlation between emotive score of a movie trailer and financial returns. Further, it was concluded that an emotionally intense movie trailer could result high financial returns in comparison to non-much emotionally intense trailers.