Search (165 results, page 1 of 9)

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Abstract

Purpose This paper investigates how school teachers look for informational texts for their classrooms. Access to current, varied and authentic informational texts improves learning outcomes for K-12 students, but many teachers lack resources to expand and update readings. The Web offers freely available resources, but finding suitable ones is time-consuming. This research lays the groundwork for building tools to ease that burden. Design/methodology/approach This paper reports qualitative findings from a study in two stages: (1) a set of semistructured interviews, based on the critical incident technique, eliciting teachers' information-seeking practices and challenges; and (2) observations of teachers using a prototype teaching-oriented news search tool under a think-aloud protocol. Findings Teachers articulated different objectives and ways of using readings in their classrooms, goals and self-reported practices varied by experience level. Teachers struggled to formulate queries that are likely to return readings on specific course topics, instead searching directly for abstract topics. Experience differences did not translate into observable differences in search skill or success in the lab study. Originality/value There is limited work on teachers' information-seeking practices, particularly on how teachers look for texts for classroom use. This paper describes how teachers look for information in this context, setting the stage for future development and research on how to support this use case. Understanding and supporting teachers looking for information is a rich area for future research, due to the complexity of the information need and the fact that teachers are not looking for information for themselves.

Date

20. 1.2015 18:30:22

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Abstract

This study investigates how privacy as an ethical concept exists in two languages: Mandarin Chinese and American English. The exploration relies on two genres of corpora from 10 years: social media posts and news articles, 2010-2019. A mixed-methods approach combining structural topic modeling (STM) and human interpretation were used to work with the data. Findings show various privacy-related topics across the two languages. Moreover, some of these different topics revealed fundamental incompatibilities for understanding privacy across these two languages. In other words, some of the variations of topics do not just reflect contextual differences; they reveal how the two languages value privacy in different ways that can relate back to the society's ethical tradition. This study is one of the first empirically grounded intercultural explorations of the concept of privacy. It has shown that natural language is promising to operationalize intercultural and comparative privacy research, and it provides an examination of the concept as it is understood in these two languages.

Date

22. 1.2023 18:59:40

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Abstract

Filtering, vetting, and verifying digital information is an area of core interest in information science. Online fake news is a specific type of digital misinformation that poses serious threats to democratic institutions, misguides the public, and can lead to radicalization and violence. Hence, fake news detection is an important problem for information science research. While there have been multiple attempts to identify fake news, most of such efforts have focused on a single modality (e.g., only text-based or only visual features). However, news articles are increasingly framed as multimodal news stories, and hence, in this work, we propose a multimodal approach combining text and visual analysis of online news stories to automatically detect fake news. Drawing on key theories of information processing and presentation, we identify multiple text and visual features that are associated with fake or credible news articles. We then perform a predictive analysis to detect features most strongly associated with fake news. Next, we combine these features in predictive models using multiple machine-learning techniques. The experimental results indicate that a multimodal approach outperforms single-modality approaches, allowing for better fake news detection.

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Abstract

Increasingly we live through our personal screens; we work, play, socialize, and learn digitally. The shift to remote everything during the pandemic was another step in a decades-long march toward the digitization of everyday life made possible by innovations in media, information, and communication technology. In The Digital Environment, Pablo Boczkowski and Eugenia Mitchelstein offer a new way to understand the role of the digital in our daily lives, calling on us to turn our attention from our discrete devices and apps to the array of artifacts and practices that make up the digital environment that envelops every aspect of our social experience. Boczkowski and Mitchelstein explore a series of issues raised by the digital takeover of everyday life, drawing on interviews with a variety of experts. They show how existing inequities of gender, race, ethnicity, education, and class are baked into the design and deployment of technology, and describe emancipatory practices that counter this--including the use of Twitter as a platform for activism through such hashtags as #BlackLivesMatter and #MeToo. They discuss the digitization of parenting, schooling, and dating--noting, among other things, that today we can both begin and end relationships online. They describe how digital media shape our consumption of sports, entertainment, and news, and consider the dynamics of political campaigns, disinformation, and social activism. Finally, they report on developments in three areas that will be key to our digital future: data science, virtual reality, and space exploration.

Content

1. Three Environments, One Life -- Part I: Foundations -- 2. Mediatization -- 3. Algorithms -- 4. Race and Ethnicity -- 5. Gender -- Part II: Institutions -- 6. Parenting -- 7. Schooling -- 8. Working -- 9. Dating -- Part III: Leisure -- 10. Sports -- 11. Televised Entertainment -- 12. News -- Part IV: Politics -- 13. Misinformation and Disinformation -- 14. Electoral Campaigns -- 15. Activism -- Part V: Innovations -- 16. Data Science -- 17. Virtual Reality -- 18. Space Exploration -- 19. Bricks and Cracks in the Digital Environment

Date

22. 6.2023 18:25:18

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Abstract

Mass media sentiment of financial news significantly influences investment decisions of investors. Hence, studying how this sentiment emerges is important. In years past, this was straightforward, often dictated by journalists who cover financial news, but this has become more complex now. In this paper, we focus on how social media sentiment affects mass media sentiment. Using data from Sina Weibo and Sina Finance (around 60 million weibos and 6.2 million news articles), we show that social media does influence mass media sentiment emergence for financial news. The sentiment consistency between social media reaction and prior news articles amplifies the persistence of mass media sentiment over time. By contrast, we found limited evidence of social media reducing the persistence of mass media sentiment over time. The results have significant implications for understanding how 2 types of media, treated separately in the literature, may be connected.

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Abstract

Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.

Date

20. 1.2015 18:30:22

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Series

Heise-Online: News

Source

https://www.heise.de/news/Corona-Selbsttests-bei-Aldi-Negativ-Zertifikate-von-Aesku-faktisch-wertlos-5987246.html?utm_source=pocket-newtab-global-de-DE

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Abstract

In this article we report on an experiment that tested how useful library-based guidelines are for measuring the integrity of information in the era of fake news. We found that the usefulness of these guidelines depends on at least three factors: weighting indicators (criteria), clear instructions, and context-specificity.

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Abstract

In this article we report on an experiment that tested how useful library-based guidelines are for measuring the integrity of information in the era of fake news. We found that the usefulness of these guidelines depends on at least three factors: weighting indicators (criteria), clear instructions, and context-specificity.

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Abstract

Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a setting where multiple entities are present in a news headline. In an effort to further research in this area, we make publicly available SEntFiN 1.0, a human-annotated dataset of 10,753 news headlines with entity-sentiment annotations, of which 2,847 headlines contain multiple entities, often with conflicting sentiments. We augment our dataset with a database of over 1,000 financial entities and their various representations in news media amounting to over 5,000 phrases. We propose a framework that enables the extraction of entity-relevant sentiments using a feature-based approach rather than an expression-based approach. For sentiment extraction, we utilize 12 different learning schemes utilizing lexicon-based and pretrained sentence representations and five classification approaches. Our experiments indicate that lexicon-based N-gram ensembles are above par with pretrained word embedding schemes such as GloVe. Overall, RoBERTa and finBERT (domain-specific BERT) achieve the highest average accuracy of 94.29% and F1-score of 93.27%. Further, using over 210,000 entity-sentiment predictions, we validate the economic effect of sentiments on aggregate market movements over a long duration.

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Abstract

Creativity and verification are intrinsic to high-quality journalism, but their role is often poorly visible in news story creation. Journalists face relentless commercial pressures that threaten to compromise story quality, in a digital era where their ethical obligation not to mislead the public has never been more important. It is therefore crucial to investigate how journalists can be supported to produce stories that are original, impactful, and factually accurate, under tight deadlines. We present findings from 14 semistructured interviews, where we asked journalists to discuss the creation of a recent news story to understand the process and associated human information behavior (HIB). Six overarching behaviors were identified: discovering, collecting, organizing, interrogating, contextualizing, and publishing. Creativity and verification were embedded throughout news story creation and integral to journalists' HIB, highlighting their ubiquity. They often manifested at a micro level; in small-scale but vital activities that drove and facilitated story creation. Their ubiquitous role highlights the importance of creativity and verification support being woven into functionality that facilitates information acquisition and use in digital information tools for journalists.

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Source

https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

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Abstract

Online trolling, disinformation, and deception are posing an existential threat to democracy. Informed by the online disinhibition theory and research on the ideological asymmetry between Democrats and Republicans, we examined how the extent and style of trolling varies across social media platforms, by analyzing comments on posts by two media channels (CNN and Fox News) on three social media platforms (Facebook, Instagram, and Twitter). We found differences in the style and extent of trolling across platforms and between media channels, with more trolling on articles posted by Fox News than by CNN, and a different trolling style on Twitter than Facebook or Instagram. Our study demonstrates a delicate balance between the socio-technical factors that are enabling and hindering trolling. While some platforms and government agencies believe in removing anonymity to regulate online harm, this paper makes a significant contribution against that view.

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Source

https://www.spektrum.de/news/deepmind-will-problem-der-proteinfaltung-geloest-haben/1802324?utm_source=pocket-newtab-global-de-DE

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Abstract

Nichts verbreitet sich so schnell wie ein Gerücht. Das wussten schon Dichter und Denker der Antike. Heute heißen Gerüchte auch Fake News, und es wird immer schwerer, Wahrheit und Lüge zu unterscheiden. Interessen spielen eine Rolle, und die traditionelle Wahrheitsdefinition hat einige Haken.

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Source

https://www.heise.de/tp/news/Falsch-gedacht-4712157.html?wt_mc=nl.tp-aktuell.woechentlich

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Abstract

The purpose of this paper is to analyse George Orwell's diaries through an information literacy lens. Orwell is well known for his dedication to freedom of speech and objective truth, and his novel Nineteen Eighty-Four is often used as a lens through which to view the fake news phenomenon. This paper will examine Orwell's diaries in relation to UNESCO's Five Laws of Media and Information Literacy to examine how information literacy concepts can be traced in historical documents. Design/methodology/approach This paper will use a content analysis method to explore Orwell's relationship to information literacy. Two of Orwell's political diaries from the period 1940-42 were coded for key themes related to the ways in which Orwell discusses and evaluates information and news. These themes were then compared to UNESCO Five Laws of Media and Information Literacy. Textual analysis software NVivo 12 was used to perform keyword searches and word frequency queries in the digitised diaries. Findings The findings show that while Orwell's diaries and the Five Laws did not share terminology, they did share ideas on bias and access to information. They also extend the history of information literacy research and practice by illustrating how concerns about the need to evaluate information sources are represented within historical literature. Originality/value This paper combines historical research with textual analysis to bring a unique historical perspective to information literacy, demonstrating that "fake news" is not a recent phenomenon, and that the tools to fight it may also lie in historical research.

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Series

News

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Footnote

Zu Verschwörungstheorien und Fake News. Mit einer Zusammenstellung von Beispielen aus der Geschichte.

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Source

https://www.spektrum.de/news/sprache-entstand-aus-unserer-freundlichkeit/2077710?utm_source=pocket-newtab-global-de-DE