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Video games are both information objects as well as experiences of play. However, current methods of game preservation often fail to capture the full gaming experience. To address this, one proposed solution involves leveraging player‐generated content as an alternative to emulation. To investigate the viability of this suggestion, we examine the following research questions: (1) What types of gameplay content exist on the platform YouTube? and (2) What are the challenges and opportunities in utilizing this style of community created content for game preservation? We introduce a Taxonomy of YouTube Game‐Related Content to answer these questions and discuss its application, along with the challenges and opportunities that arose during its creation. Our taxonomy and findings suggest that although utilizing this content for game preservation requires additional knowledge of games and their community, as well as consideration of how the platform and creators impact game history, it also presents opportunities to preserve more diverse voices and experiences of play. Furthermore, it suggests YouTube videos offer a potential avenue, not only for preserving the game object, but also for preserving its broader cultural significance and multiple forms of knowledge. [ABSTRACT FROM AUTHOR]

Parents' concerns about children's digital media use were investigated using data from semi‐structured interviews with 17 parents of children ages five to 11 at three branches of a U.S. urban public library system. Data were analyzed using collaborative inductive thematic analysis and analyzed with the lens of culturally‐constructed anxieties about new media. The most common concerns included worries about exposure to inappropriate content, worries about digital media taking up time that children would otherwise spend engaging in more meaningful activities, concerns about safety and privacy, and worries about negative effects on children's behaviors, attitudes, and social skills. Further analysis showed parents' deeper concern for children's healthy development to underlie these narrower concerns. The authors conclude with the recommendation to shift the framing of discourse around parenting with digital media from risk protection to digital media education. Such a shift could raise awareness that framing children and digital media only in terms of risks is overly simplistic, and it could help parents come to understand that children's digital media use is not just risky but also an opportunity for children to derive educational and social benefits, and learn how to operate in a digital media‐dominated information ecosystem. [ABSTRACT FROM AUTHOR]

Toxic content on social media has posed a significant threat to user experience and societal stability. In contrast to explicitly toxic content, implicitly toxic content, lacking overt toxic words, is challenging to identify through single‐text features. Therefore, this study proposes a multi‐feature fusion algorithm to recognize implicit toxic content. Firstly, we collect various features for each post, including text content, likes, comments, user information and other features. Subsequently, employing a multi‐head attention mechanism, we extract and fuse these features. Then, utilizing ensemble learning algorithms, we identify implicitly toxic content based on the fused features. Finally, we analyze the decision‐making process of the model using an interpretable algorithm and derive the most critical features and factors for identifying implicitly toxic content. The experimental results show that the proposed algorithm outperforms algorithms such as BERT, TextCNN, and XGBoost, demonstrating the advantage of multiple features over a single text feature in recognizing implicitly toxic content. In addition, this study provides insights into the decision‐making process of the model and provides more effective toxic content management strategies for social media platforms. [ABSTRACT FROM AUTHOR]

YouTube is a valuable source of user‐generated content on a wide range of topics, and it encourages user participation through the use of a comment system. Video content is increasingly addressing scientific topics, and there is evidence that both academics and consumers use video descriptions and video comments to refer to academic research and scientific publications. Because commenting is a discursive behavior, this study will provide insights on why individuals post links to research publications in comments. For this, a qualitative content analysis and iterative coding approach were applied. Furthermore, the reasons for mentioning academic publications in comments were contrasted with the reasons for citing in scholarly works and with reasons for commenting on YouTube. We discovered that the primary motives for sharing research links were (1) providing more insights into the topic and (2) challenging information offered by other commentators. [ABSTRACT FROM AUTHOR]

Information resiliency is a difficult idea to conceptualize, though it seems to include resistance to mis‐ and dis‐information, algorithmic injustices, and filter bubbles. A possible solution to these information challenges and the current "infodemic" is to restrict access to and circulation of certain information. Social media platforms, in particular, have an extraordinarily wide reach in contemporary society. While compelling these platforms to restrict information may be appealing, at first glance, there are inherent problems of power and control bound up in the suggestion of censorship (or, as it is sometimes framed, content moderation). Rules about permitted speech can be wielded in ways that increase harm to already marginalized populations. In this panel, we discuss these ideas and debate the merits of restricting access to information via social media content moderation. We anticipate a robust discussion with attendees [ABSTRACT FROM AUTHOR]

Here we attempt to contextualize memetics for Information Studies by reinterpreting Internet Memetics. In doing so, we propose a way to empirically study semantics of informational content. This is done by collecting images from meme entries on KnowYourMeme, a digital meme repository, and clustering features found in those images. The features are found using Google Cloud Vision, Google's computer vision project. We suggest how informational meaning (semantics) is shaped between similarity (operating as the idea of the meme) and difference (features in the image). Early results show that memetic ideas may be referenced as the shape of information across image collections. [ABSTRACT FROM AUTHOR]

The rapid development of Open Government Data (OGD) and the increasing attention on data use/reuse have stimulated many studies on data‐related issues. However, the findability of OGD is still one of the major challenges. Aiming to ameliorate the situation that "data is hard to find", this paper examines OGD users' needs and accessing behaviors when interacting with local OGD portals. Transaction log analysis and web content mining were used in order to obtain insights from large groups of OGD users in an unobtrusive manner. Through analyzing transaction log data from three local OGD portals, including Open Data Philly (opendataphilly.org), Western Pennsylvania Regional Data Center (wprdc.org) and Analyze Boston (data.boston.gov), our study shows that users relied on different channels to enter local OGD portals, and such channels have different impacts on user success in finding the sought‐after data. We also find that OGD users prefer browsing over searching when inside the portals, the utilization of different browsing entries, and users' data needs. [ABSTRACT FROM AUTHOR]

The United Nations 2030 Agenda for Sustainable Development ratified 17 goals as a global blueprint towards "economic, social and environmental sustainability" of all nations. It includes "Gender Equality" (Sustainable Development Goal 5) that seeks to empower women and girls by eliminating discrimination and providing equal opportunities for their fuller participation in all aspects of life. This case study provides an exploratory assessment of web‐based information for women in Alabama's public libraries located in the "American South" and its Appalachian region. Both have experienced ostracization and stereotyping in popular culture owing to political and religious conservativeness, Civil Rights struggles, gender prejudice, and hostile conditions towards women/minorities. This exploratory website content analysis identifies seven examples of information offerings categorized into three groupings: (a) information sources (collections, resources); (b) information policy and planning (assigned role, strategic representation); (c) connections (internal, external, news and events). It develops a taxonomic framework with representative examples that challenge the regional stereotype in its images of solely deficit marginalization. The discussion provides new directions and potential opportunities to build collaborations of sharing within Alabama's public libraries and beyond to better address women's concerns and gender inequities in their local and regional communities. [ABSTRACT FROM AUTHOR]

One hundred and ninety‐three countries have ratified the United Nations 2030 Agenda for Sustainable Development outlining 17 goals to promote prosperity of people and the planet in a peaceful and sustainable way. Despite hate crimes and marginalization around the world, LGBTQ+ communities are missing from conceptualization and description of these goals. This poster recognizes state libraries in the United States as potentially strong institutions to promote peace and justice for sexual minorities (i.e., Sustainable Development Goal 16). It presents illustrative examples from a website content analysis of four state libraries in Colorado, Maine, Oklahoma, and Texas, regions that the Human Rights Campaign has recognized as exemplar in six law and policy development areas (i.e., parenting, relationship recognition/religious refusal, hate crimes and criminal justice, youth, and health and safety). The findings—selectively described in the narrative and fully viewable through a weblink—serve as a first step towards identifying best practices that state libraries can take to better serve LGBTQ+ patrons. [ABSTRACT FROM AUTHOR]

This paper reports on a comparative survey of online news use and perceptions of trust in Canada and Japan among young university educated adults. Results indicate that information use patterns are broadly consistent, with some differences by gender and country. Notably, young adults report heavy reliance upon social media channels as sources of online news, despite consistently low levels of trust for this type of content. [ABSTRACT FROM AUTHOR]

Since the wide adoption of the Internet in public schools and libraries, parents, educators and caregivers have been concerned about the safety and efficacy of children's search practice, often willing to accept diminished information quality to ensure that young searchers do not encounter illicit materials. In this study, part of a broader examination of youth search practices in the early years, we demonstrate that "safe", child‐oriented search engines provide less relevant results, while failing to keep children from the unfiltered Web, the narrow definition of safety proffered by the sites themselves. Based on our findings, we suggest that the rhetorics of these search tools present a false trade‐off and may actually hinder inquiry practice, as opposed to supporting safe and developmentally appropriate access to online materials. [ABSTRACT FROM AUTHOR]

ABSTRACT We investigate how children in grades 6 and 8 (ages 11 and 13, respectively) read search engine results pages (SERPs) in the context of searching Google. We use eye-tracking to detect children's reading of SERPs, and the effect of grade level and task type on reading behaviors and interactions. We have created a web search interface that retrieved data in the background from Google search engine. Preliminary findings show a significant difference in the number of reading fixations by grade level. Grade level or age had a more significant effect on reading behaviors, fixations, first result rank, and interactions with SERPs than task type. Findings and future work are discussed. [ABSTRACT FROM AUTHOR]

There is growing recognition of the importance of learning as a search outcome and of the need to provide support for it. Yet, before we can consider learning as a part of search, we need to know how to assess it. This panel will focus on methods and measures for assessing learning in the context of search tasks and their outcomes. The panel will be interactive as the audience will be encouraged to engage in contributing their own experiences and ideas related to measures and methods to study learning as a part of search processes. Ideas and experiences with explicit and implicit indicators of learning and with evaluating learning outcomes will be shared during a dialogue between the audience and panelists. Outcomes from the panel discussions will contribute to formulating a research agenda for "search as learning." The outcomes will be shared with the audience (and the wider ASIST community). [ABSTRACT FROM AUTHOR]

Social media is a vital source of information during any major event, especially natural disasters. However, with the exponential increase in volume of social media data, so comes the increase in conversational data that does not provide valuable information, especially in the context of disaster events, thus, diminishing peoples' ability to find the information that they need in order to organize relief efforts, find help, and potentially save lives. This project focuses on the development of a Bayesian approach to the classification of tweets (posts on Twitter) during Hurricane Sandy in order to distinguish "informational" from "conversational" tweets. We designed an effective set of features and used them as input to Naive Bayes classifiers. In comparison to a "bag of words" approach, the new feature set provides similar results in the classification of tweets. However, the designed feature set contains only 9 features compared with more than 3000 features for "bag of words." When the feature set is combined with "bag of words", accuracy achieves 85.2914%. If integrated into disaster-related systems, our approach can serve as a boon to any person or organization seeking to extract useful information in the midst of a natural disaster. [ABSTRACT FROM AUTHOR]

Typically, information scientists research videos and blogs, two types of online content, with the aim to understand the information behaviors and activities of those who seek and use such sources. Yet, beginning to understand the set of information-intensive behaviors and activities that accompany online content creation is equally important. This poster presents an early case study of one self-designated "Original Content Creator," OrganizedLikeJen, a social media personality found on YouTube-- as well as on sites like Tumblr, WordPress, Facebook, Twitter, Instagram, and Pinterest-- whose uploads often have an information-related focus. The objective of this poster is to understand how OrganizedLikeJen might proffer a gateway to the investigation of several topics little taken up in current literature. What are possible information producing and sharing behaviors in these forums? What are possible information-centric work practices in these forums? How might informal information providing careers be characterized? Could OrganizedLikeJen specifically indicate information popularization among broad audiences?. [ABSTRACT FROM AUTHOR]

In this research, we analyze the referral queries and associated site-search queries at the session level from searchers coming from web search engines. Findings are based on a random sample of 10,000 from a total of 327,261 searching sessions of an online Spanish entertainment business collected over the course of a five month period from March 23, 2012 to August 26, 2012. We find six searching strategies that are correlated with the type of referral keywords (i.e., search terms) used at the major search engine. Of the six, the three major searching strategies are (1) the explorers who submit a broad query on the major search engine and then submit multiple broad queries on the site-search engine, (2) the navigators who submit a query to the major search engine that is part of a URL and then submit specific queries to the site-search engine, and (3) the persisters who submit the exact type of query on both the search engine and the site search. Implications for this research include developing better internal searching features, sponsored search keyword generation, and personalization of website content. [ABSTRACT FROM AUTHOR]