Are You What You Tweet? The Impact of Sentiment on Digital News Consumption and Social Media Sharing

2023 | Information Systems Research | Citations: 0

Authors: Oh, Hyelim; Goh, Khim-Yong; Phan, Tuan Q.

Abstract: Although social media has helped online newspapers by allowing users to organica ... Expand

Abstract: Although social media has helped online newspapers by allowing users to organically share articles, some have argued that it has cannibalized and hurt newspapers through reduced readership and diminished agenda-setting power. Motivated by these two opposing effects, it is critical to understand what affects the duality between sharing news articles on social media and reading the articles on news websites. Using rich clickstream data on online news readership obtained from an English-language newspaper in an Asian country and social media data collected from Twitter, we focus on article sentiment as a key news content attribute and find a differential effect of sentiment on readership and sharing behaviors across the news site and third-party social media platform. Our results show that people are likely to read news articles with negative sentiment on the news site, but they tend to share articles with positive sentiment on Twitter. Specifically, a one-unit increase in content sentiment is associated with a 10.86% or 273-unit decrease in news site page views but a 17.0% or 2.10-unit increase in Twitter sharing volume. Upon decomposition of news article sentiment, we also find a contrasting positive author sentiment effect and a negative news topic valence effect on news readership. To uncover the underlying mechanism of the findings, we test the key intuitions from prior self-presentation literature. We find that an increase in a Twitter user’s followers (i.e., audience size) leads to an increase in the Twitter user’s propensity to share positive-sentiment news articles. Our findings on the role of sentiment on content consumption and sharing affirm the coopetitive but complementary relationship between news websites and social media platforms. Our results also guide publishers to better craft their news content and manage social media presence to improve audience engagement and readership outcomes while preserving the agenda-setting ability of news media.History: Anindya Ghose, Senior Editor; Mingfeng Lin, Associate Editor.Funding: H. Oh was supported by the Ministry of Education, Singapore [Grant R-253-000-126-114] and the National Research Foundation of Korea [Grant NRF-2021S1A5A8070021]. T. Q. Phan was supported by the National University of Singapore [Grant T1-251RES1402] and the University of Hong Kong [Grant 201909185043].Supplemental Material: The online appendices are available at https://doi.org/10.1287/isre.2022.1112. Collapse

Topics: Twitter social media website personality Facebook

Methods: sentiment analysis CoreNLP natural language processing instrumental variables estimation econometric modeling

Optimal IP-based content provision model for digital content platforms

2023 | Information & Management | Citations: 0

Authors: Yang, Liyuan; Li, Zhiyong; Nan, Guofang; Li, Dahui; Li, Minqiang

Abstract: To increase the provision of digital content based on a pre-existing intellectua ... Expand

Abstract: To increase the provision of digital content based on a pre-existing intellectual property (IP-based content), digital content platforms can either procure finished IP-based content made by IP holders (the IP-holder-led provision model) or develop IP-based content themselves after obtaining adaptation licenses from IP holders (the platform-led provision model). This study develops a stylized analytical model and finds that the platform’s choice of provision model is determined by maximum demand, cost efficiency, and the difference in the capacity to generate content-derived revenue between the platform and the IP holder. We also examine the conditions under which a win-win-win outcome for the platform, the IP holder, and consumers can arise. Collapse

Topics: consumer surplus IS economics social media price management

Methods: mathematical model hierarchical linear modeling cross sectional research

Theories: lemon market theory

Solving the Social Dilemma with Equilibrium Data Harvesting Strategies: A Game-Theoretic Approach

2022 | International Conference on Information Systems | Citations: 0

Authors: Shin, Hyeonsik; Hosseini, Leila; Kumar, Subodha

Abstract: Social media platforms generate huge profits from targeted advertising by colle ... Expand

Abstract: Social media platforms generate huge profits from targeted advertising by collecting mas sive amounts of data from their users, usually referred to as data harvesting. However, practitioners from the social media industry suggest that data harvesting hurts users by promoting social media addiction and the spread of misinformation. Therefore, policy makers have recently been considering regulating social media platforms. This paper investigates how imposing the regulation on data harvesting impacts social media plat forms and users by developing a gametheoretic model. Our main finding shows that while the objective of the regulation on data harvesting is to discourage platforms from collecting a massive amount of data from the users, imposing the regulation may some times increase the data harvesting levels and profits of social media platforms. We con tribute to the Information Systems literature by broadening the knowledge of the impact of the government's regulation on social media platforms and users. Collapse

Topics: social media network effect consumer surplus IS economics advertising management

Methods: mathematical model

Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites

2021 | Business & Information Systems Engineering | Citations: 0

Authors: Köster, Antonia; Matt, Christian; Hess, Thomas

Abstract: Content website providers have two main goals: They seek to attract consumers an ... Expand

Abstract: Content website providers have two main goals: They seek to attract consumers and to keep them on their websites as long as possible. To reach potential consumers, they can utilize several online channels, such as paid search results or advertisements on social media, all of which usually require a substantial marketing budget. However, with rising user numbers of online communication tools, website providers increasingly integrate social sharing buttons on their websites to encourage existing consumers to facilitate referrals to their social networks. While little is known about this social form of guiding consumers to a content website, the study proposes that the way in which consumers reach a website is related to their stickiness to the website and their propensity to refer content to others. By using a unique clickstream data set of a video-on-demand website, the study compares consumers referred by their social network to those consumers arriving at the website via organic search or social media advertisements in terms of stickiness to the website (e.g., visit length, number of page views, video starts) and referral likelihood. The results show that consumers referred through social referrals spend more time on the website, view more pages, and start more videos than consumers who respond to social media advertisements, but less than those coming through organic search. Concerning referral propensity, the results indicate that consumers attracted to a website through social referrals are more likely to refer content to others than those who came through organic search or social media advertisements. The study offers direct insights to managers and recommends an increase in their efforts to promote social referrals on their websites. Collapse

Topics: website social media search engine advertising management Facebook

Methods: logistic regression regression analysis method descriptive statistic robustness check statistical hypothesis test

The New Food Truck in Town: Geographic Communities and Authenticity-Based Entrepreneurship

2021 | Organization Science | Citations: 0

Authors: Schifeling, Todd; Demetry, Daphne

Abstract: Authenticity is a valuable attribution for organizations, but one that raises a ... Expand

Abstract: Authenticity is a valuable attribution for organizations, but one that raises a challenge of audience acceptance for innovative entrepreneurs. In particular, organizations that depart from an established type risk being judged as inauthentic. However, entrepreneurs may be able to overcome this challenge by basing their authenticity on notions of craft—such as skilled hands-on techniques, sophisticated ingredients, and small-scale artistry rather than mass industrial manufacturing—that better support innovation. We propose that communities vary in the extent to which they embrace craft production as an evolved understanding of authenticity that is less concerned with conformity to type. This local context, in turn, conditions the likelihood of entrepreneurs creating innovative ventures that rely on perceptions of craft authenticity. We develop this argument through a mixed-methods study of the spatially uneven emergence of gourmet food trucks across the United States. Our findings contribute to research on authenticity and the geography of entrepreneurship and innovation. Collapse

Topics: Twitter innovation management entrepreneurship value creation marketing management

Methods: qualitative interview theory development descriptive statistic mixed method archival research

The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks

2018 | Information Systems Research | Citations: 29

Authors: Heimbach, Irina; Hinz, Oliver

Abstract: Research on online content diffusion is vast but has rarely examined contextual ... Expand

Abstract: Research on online content diffusion is vast but has rarely examined contextual factors, including the influence of online sharing mechanisms, such as social plugins (e.g., Facebook’s “Like” button), on online social networks (OSNs). While these mechanisms generally enable the content flow between senders and recipients, they vary in protecting users’ social and institutional privacy on OSNs. Additionally, sharing mechanisms might differ with respect to their labeling (e.g., positive versus neutral), which might interact with the sharable content. We examined the effects of these three design aspects on users’ sharing behavior in a controlled experiment and two analyses of observational data. The results show that two types of sharing mechanisms negatively affect content sharing in the domain of news sharing: those that allow greater information flow control over the sharing process and thus protect users’ social privacy and those that employ two-click designs to preserve users’ institutional privacy. These negative effects mainly stem from higher frictional costs associated with these features. For the average user in this domain, the disutility and additional cognitive effort generated by one additional click often mitigates the utility of sharing itself. Moreover, we find that neutral button labeling is important for fostering content sharing as users might encounter schema incongruity when using a positively connoted label to share bad news. Overall, a wrong decision in terms of the sharing mechanism can easily decrease the number of shares by up to 86%. Therefore, content providers can easily and substantially increase content sharing by properly designing the sharing mechanism on their websites.The online appendix is available at https://doi-org.tudelft.idm.oclc.org/10.1287/isre.2017.0738. Collapse

Topics: Facebook privacy social media information privacy concern Twitter

Methods: experiment literature sample qualitative coding field study longitudinal research

Theories: theory of affordance

The Political Economy of New Media Revisited

2017 | HICSS | Citations: 0

Authors: Van Couvering, Elizabeth

Abstract: This paper defines media platforms in terms of the theory of traditional two-sid ... Expand

Abstract: This paper defines media platforms in terms of the theory of traditional two-sided media markets, then goes on to develop the theory to include content providers as a third side of the market (the “platformisation of media”), the widespread introduction of sellable meta-information about the platform network (the “mediatisation of platforms”), and the importance of social networking technologies to the media platform. Issues of concern raised by this include privacy, intellectual property, and equity. Genres of resistance to unwanted visibility and invisibility, such as spoofing, spamming, fingering and silencing are also noted. Collapse

Topics: social network digital platform digital media privacy

Methods: computational algorithm theory development

Social media research: Theories, constructs, and conceptual frameworks

2015 | International Journal of Information Management | Citations: 99

Authors: Ngai, Eric W.T.; Tao, Spencer S.C.; Moon, Karen K.L.

Abstract: a b s t r a c tIn just one decade, social media have revolutionized the life of ... Expand

Abstract: a b s t r a c tIn just one decade, social media have revolutionized the life of many people and thus attracted much attention, not only from industry, but also academia. To understand how researchers have adopted theories, used research constructs, and developed conceptual frameworks in their studies, a systematic and structured literature review based on five leading online academic databases was conducted. A total of 46 articles on social media research were consolidated and analyzed, including empirical studies spanning from 2002 to 2011. A collection of theories/models and constructs/attributes adopted in these articles is summarized and tabulated for easy reference and comprehension of extant research results. A causalchain framework was developed based on the input-moderator-mediator-output model to illustrate the causality between the research constructs used and the conceptualization of theoretical models/theories proposed by previous researchers. Because social media cover a wide range of research topics, the literature review may not be exhaustive. However, the proposed causal-chain framework and suggested research directions may be regarded as representative references for future research in the subject area. This is believed to be the first comprehensive literature review of social media research, and it contributes to a better understanding of the causes and effects of the adoption and usage of social media. Collapse

Topics: social media privacy organizational productivity user behavior database system

Methods: literature sample structured literature research conceptual modelling theory development literature study

Theories: communication theory

Optimal Management of Digital Content on Tiered Infrastructure Platforms

2014 | Information Systems Research | Citations: 2

Authors: Du, Anna Ye; Das, Sanjukta; Gopal, Ram D.; Ramesh, Ram

Abstract: Media firms are increasingly using tiered infrastructure to cost-effectively man ... Expand

Abstract: Media firms are increasingly using tiered infrastructure to cost-effectively manage heterogeneous resources by strategically allocating digital content across multiple tiers to avoid overcapacitating high-performance, expensive infrastructure tiers. Complex migrations in tiered environments are currently possible in a seamless, nondisruptive manner. We model digital content as a network capturing the inter-item impacts and use this network structure to develop optimal migration policies that partition media content into tiers. Addressing the context of large content providers such as video-on-demand providers that employ infrastructure platforms for content storage and delivery, we develop a bilevel programming model to maximize the profits of a price-setting platform and a tiered allocation-setting content provider. We model two fundamental effects with digital content: a revenue effect emanating from the tiered architecture and a traffic generating effect among media objects. Using a detailed longitudinal simulation study, we demonstrate the effectiveness of the proposed provisioning policy and pricing strategy and illustrate the existence and impact of these effects in media markets. Finally, we show that repeated execution of the model can help providers respond effectively to a changing environment and thus better manage the risk from demand fluctuations. Collapse

Topics: price management digital media dynamic pricing YouTube recommender system

Methods: computational algorithm experiment simulation longitudinal research statistical hypothesis test