Search (12 results, page 1 of 1)

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Date

22. 1.2022 14:01:14

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Abstract

The purpose of this study is to investigate the validity of tweets about scientific publications as an indicator of societal impact by measuring the degree to which the publications are tweeted beyond academia. We introduce methods that allow for using a much larger and broader data set than in previous validation studies. It covers all areas of research and includes almost 40 million tweets by 2.5 million unique tweeters mentioning almost 4 million scientific publications. We find that, although half of the tweeters are external to academia, most of the tweets are from within academia, and most of the external tweets are responses to original tweets within academia. Only half of the tweeted publications are tweeted outside of academia. We conclude that, in general, the tweeting of scientific publications is not a valid indicator of the societal impact of research. However, publications that continue being tweeted after a few days represent recent scientific achievements that catch attention in society. These publications occur more often in the health sciences and in the social sciences and humanities.

Content

Beitrag in: JASIST special issue on 'Who tweets scientific publications? A large-scale study of tweeting audiences in all areas of research'. Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24830.

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Abstract

Fueled by the explosive growth of Web 2.0 and social media, online investment communities have become a popular venue for individual investors to interact with each other. Investor opinions extracted from online investment communities capture "crowd wisdom" and have begun to play an important role in financial markets. Existing research confirms the importance of crowd wisdom in stock predictions, but fails to investigate factors influencing crowd performance (that is, crowd prediction accuracy). In order to help improve crowd performance, our research strives to investigate the impact of crowd characteristics on crowd performance. We conduct an empirical study using a large data set collected from a popular online investment community, StockTwits. Our findings show that experience diversity, participant independence, and network decentralization are all positively related to crowd performance. Furthermore, crowd size moderates the influence of crowd characteristics on crowd performance. From a theoretical perspective, our work enriches extant literature by empirically testing the relationship between crowd characteristics and crowd performance. From a practical perspective, our findings help investors better evaluate social sensors embedded in user-generated stock predictions, based upon which they can make better investment decisions.

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Abstract

The extant literature demonstrates that the age-related digital divide prevents older adults from enhancing their quality of life. To bridge this gap and promote active aging, this study explores the interplay between social networks and older adults' use of information and communication technology (ICT). Using an action-oriented field research approach, we offered technical help (29 help sessions) to older adult participants recruited from western China. Then, we conducted content analysis to examine the obtained video, audio, and text data. Our results show that, first, different types of social networks significantly influence older adults' ICT use in terms of digital skills, engagement, and attitudes; however, these effects vary from person to person. In particular, our results highlight the crucial role of a stable and long-term supportive social network in learning and mastering ICT for older residents. Second, technical help facilitates the building and reinforcing of such a social network for the participants. Our study has strong implications in that policymakers can foster the digital inclusion of older people through supportive social networks.

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Abstract

Digital exclusion is high on the international agenda and covers a variety of inequalities in access to and use of digital technologies, and in the skills and motivation needed for their adoption. This research contributes to the discussion on solving digital exclusion issues by addressing the emergent roles and challenges of Lithuanian public libraries in reducing the digital divide. The article combines a multilevel model of the digital divide with the concept of business idea and analyzes the future scenarios of Lithuanian public libraries. The findings highlight the public libraries' importance in conducting training, consultancy, and experiential learning to stimulate digital inclusion. Potentially, libraries can motivate users to adopt digital technologies, but this role is still not sufficiently visible. The findings show that libraries face challenges of redefining their social value and obtaining the sustaining funds, skills, and infrastructure necessary for digital inclusion programs. However, they can use collaboration networks, effective cost management, and external expertise to overcome these obstacles.

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Content

What is the digital divide? -- Research and theory of the digital divide -- Motivation and attitude -- Physical access -- Digital and 21st-century skills usage inequality -- Outcomes -- Social and digital inequality -- Solutions to soften the digital divide.

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Abstract

Due to their confidence and dominance, narcissistic leaders oftentimes can be perceived favorably by followers, in particular during times of uncertainty. In this study, we propose and examine the relationship between narcissistic leaders and followers who are prone to experience uncertainty intensely and frequently in general, namely highly anxious followers. We do so by applying machine learning algorithms to account for personality traits in a large sample of leaders and followers on Twitter. We find that highly anxious followers are more likely to interact with narcissistic leaders in general, and male narcissistic leaders in particular. Finally, we also examined these interactions in the context of highly popular leaders and found that as leaders become more popular, they begin to attract less anxious followers, regardless of leader gender. We interpret and discuss these findings in relation to previous work and outline limitations and future research recommendations based on our approach.

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Abstract

Social media connected the world--and gave rise to fake news and increasing polarization. Now a leading researcher at MIT draws on 20 years of research to show how these trends threaten our political, economic, and emotional health in this eye-opening exploration of the dark side of technological progress. Today we have the ability, unprecedented in human history, to amplify our interactions with each other through social media. It is paramount, MIT social media expert Sinan Aral says, that we recognize the outsized impact social media has on our culture, our democracy, and our lives in order to steer today's social technology toward good, while avoiding the ways it can pull us apart. Otherwise, we could fall victim to what Aral calls "The Hype Machine." As a senior researcher of the longest-running study of fake news ever conducted, Aral found that lies spread online farther and faster than the truth--a harrowing conclusion that was featured on the cover of Science magazine. Among the questions Aral explores following twenty years of field research: Did Russian interference change the 2016 election? And how is it affecting the vote in 2020? Why does fake news travel faster than the truth online? How do social ratings and automated sharing determine which products succeed and fail? How does social media affect our kids? First, Aral links alarming data and statistics to three accelerating social media shifts: hyper-socialization, personalized mass persuasion, and the tyranny of trends. Next, he grapples with the consequences of the Hype Machine for elections, businesses, dating, and health. Finally, he maps out strategies for navigating the Hype Machine, offering his singular guidance for managing social media to fulfill its promise going forward. Rarely has a book so directly wrestled with the secret forces that drive the news cycle every day"

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Abstract

Purpose This study aims to develop an in-depth understanding of the underlying dynamics of an emergent shared information practice within a Facebook group, and the resources the group develops to sustain this practice. Design/methodology/approach In-depth semi-structured interviews were carried out with twenty members from the group. The findings are based on comparative analysis combined with narrative analysis and were interpreted using theories of situated learning and Community of Practice. Findings The study shows that although members of this multicultural mothers group endorsed different, sometimes opposing parenting practices, the group had to find common ground when sharing information. Managing these challenges was key to maintaining the group as an open information resource for all members. The group produced a shared repertoire of resources to maintain its activities, including norms, rules, shared understandings, and various monitoring activities. The shared online practice developed by the community is conceptualised in this article as an information practice requiring shared, community-specific understandings of what, when, and how information can or should be sought or shared in ways that are valued in this specific community. The findings show that this shared information practice is not static but continually evolves as members negotiate what is, or not, important for the group. Originality/value The research provides novel insights into the underlying dynamics of the emergence, management, and sustainability of a shared information practice within a contemporary mothers group on Facebook.

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Abstract

The rapid and wide dissemination of up-to-date, localized information is a central issue during disasters. Being attributed to the original 140-character length, Twitter provides its users with quick-posting and easy-forwarding features that facilitate the timely dissemination of warnings and alerts. However, a concern arises with respect to the terseness of tweets that restricts the amount of information conveyed in a tweet and thus increases a tweet's uncertainty. We tackle such concerns by proposing entropy as a measure for a tweet's uncertainty. Based on the perspectives of Uncertainty Reduction Theory (URT), we theorize that the more uncertain information of a disaster tweet, the higher the entropy, which will lead to a lower retweet count. By leveraging the statistical and predictive analyses, we provide evidence supporting that entropy validly and reliably assesses the uncertainty of a tweet. This study contributes to improving our understanding of information propagation on Twitter during disasters. Academically, we offer a new variable of entropy to measure a tweet's uncertainty, an important factor influencing disaster tweets' retweeting. Entropy plays a critical role to better comprehend URLs and emoticons as a means to convey information. Practically, this research suggests a set of guidelines for effectively crafting disaster messages on Twitter.

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Abstract

Lena Forsén, the real human behind the Lenna image, was first published in Playboy in 1972. Soon after, USC engineers searching for a suitable test image for their image processing research sought inspiration from the magazine. They deemed Lenna the right fit and scanned the image into digital, RGB existence. From here, the story of the image follows the story of the internet. Lenna was one of the first inhabitants of ARPANet, the internet's predecessor, and then the world wide web. While the image's reach was limited to a few research papers in the '70s and '80s, in 1991, Lenna was featured on the cover of an engineering journal alongside another popular test image, Peppers. This caught the attention of Playboy, which threatened a copyright infringement lawsuit. Engineers who had grown attached to Lenna fought back. Ultimately, they prevailed, and as a Playboy VP reflected on the drama: "We decided we should exploit this because it is a phenomenon." The Playboy controversy canonized Lenna in engineering folklore and prompted an explosion of conversation about the image. Image hits on the internet rose to a peak number in 1995.
In the 21st century, the image has remained a common sight in classrooms and on TV, including a feature on Silicon Valley in 2014. Pushback towards the use of the image also grew in the 2010s leading up to 2019, when the Losing Lena documentary was released. Forsén shares her side of the story and asks for her image to be retired: "I retired from modelling a long time ago. It's time I retired from tech, too. We can make a simple change today that creates a lasting change for tomorrow. Let's commit to losing me." After the film's release, many of my female colleagues shared stories about their own encounters with the image throughout their careers. When one of the only women this well referenced, respected, and remembered in your field is known for a nude photo that was taken of her and is now used without her consent, it inevitably shapes the perception of the position of women in tech and the value of our contributions. The film called on the engineering community to stop their spread of the image and use alternatives instead. This led to efforts to remove the image from textbooks and production code and a slow, but noticeable decline in the image's use for research.
But despite this progress, almost 2 years later, the use of Lenna continues. The image appears on the internet in 30+ different languages in the last decade, including 10+ languages in 2021. The image's spread across digital geographies has mirrored this geographical growth, moving from mostly .org domains before 1990 to over 100 different domains today, notably .com and .edu, along with others. Within the .edu world, the Lenna image continues to appear in homework questions, class slides and to be hosted on educational and research sites, ensuring that it is passed down to new generations of engineers. Whether it's due to institutional negligence or defiance, it seems that for now, the image is here to stay.

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Abstract

Great Sites are closely related to the residents' life, urban and rural development. In the process of rapid urbanization in China, the protection and utilization of Great Sites are facing unprecedented pressure. Effective knowl­edge organization with ontology and linked data of Great Sites is a prerequisite for their protection and utilization. In this paper, an interview is conducted to understand the users' awareness towards Great Sites to build the user-centered ontology. As for designing the Great Site ontology, firstly, the scope of Great Sites is determined. Secondly, CIDOC- CRM and OWL-Time Ontology are reused combining the results of literature research and user interviews. Thirdly, the top-level structure and the specific instances are determined to extract knowl­edge concepts of Great Sites. Fourthly, they are transformed into classes, data properties and object properties of the Great Site ontology. Later, based on the linked data technology, taking the Great Sites in Xi'an Area as an example, this paper uses D2RQ to publish the linked data set of the knowl­edge of the Great Sites and realize its opening and sharing. Semantic services such as semantic annotation, semantic retrieval and reasoning are provided based on the ontology.