Relevant bibliographies by topics / Media coverage data

Academic literature on the topic 'Media coverage data'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Media coverage data"

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Strawn, Kelley. "Validity and Media-Derived Protest Event Data: Examining Relative Coverage Tendencies in Mexican News Media *." Mobilization: An International Quarterly 13, no. 2 (June 1, 2008): 147–64. http://dx.doi.org/10.17813/maiq.13.2.b3j3p1104244u073.

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This essay engages the debate over the validity of media-derived protest data through an assessment of event coverage for three Mexico news sources. With a focus on "relative"—as opposed to "absolute"—coverage tendencies, it is argued that certain coverage tendencies in news sources can be identified and, in turn, incorporated as controls into more substantive analyses of protest phenomena. Specifically, this analysis finds that that, for the Mexico media, claims that coverage is representative of all protest events is dubious with respect to the overall population of specific events and to the geographic distribution of events. At the same time, it is shown that tendencies driven by regional biases, chronology, event size, event targets, and event issues can be exposed and identified through a simple comparison of the principal media source to one or more others.
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Chen, Shannon, Kathleen Schuchard, and Bridget Stomberg. "Media Coverage of Corporate Taxes." Accounting Review 94, no. 5 (December 1, 2018): 83–116. http://dx.doi.org/10.2308/accr-52342.

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ABSTRACT Managers express growing concern over media coverage of corporate taxes, yet no large-sample empirical study examines this phenomenon. As a first step to fill this void, we identify factors associated with the likelihood and negative tone of media tax coverage and examine firms' tax avoidance behavior following media tax coverage. We find the likelihood of media tax coverage is greater for firms with GAAP effective tax rates below the top U.S. statutory rate of 35 percent and for firms with greater visibility. The degree of negative tone is increasing in cash tax avoidance and firm size. We also find evidence of more frequent and more negative tax coverage during economic recessions. We find no evidence that firms reduce their tax avoidance following media coverage. Although our analyses are subject to limitations, our results suggest the media may not have the same influence over corporate tax policy as other external stakeholders. JEL Classifications: H25; H26; H20; M41; G39. Data Availability: Data are available from public sources identified in the paper.
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Song, Yun, Hongqu He, and Buwen Cao. "Media Coverage, CEO Age and Corporate Performance in Big Data Environment." E3S Web of Conferences 251 (2021): 02018. http://dx.doi.org/10.1051/e3sconf/202125102018.

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This study analyzes the influence of CEO age on corporate performance under the big data environment and the role of media coverage in this relationship by taking the A-share listed companies from 2009 to 2019 as research objects. Our results show that in the low-speed developing enterprises, the older the CEO, the higher the level of corporate performance. Positive and neutral media reports positively affect corporate performance, whereas negative media reports negatively affect corporate performance. Media reports (including positive, negative, and neutral media reports) weaken the influence of CEO age on corporate performance
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Qin, Hai-qing, Zhen-hui Li, and Jia-jia Yang. "The Impact of Online Media Big Data on Firm Performance: Based on Grey Relation Entropy Method." Mathematical Problems in Engineering 2020 (July 14, 2020): 1–7. http://dx.doi.org/10.1155/2020/1847194.

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The study uses the grey relation entropy method to explore the impact of online media big data on firm performance, based on 17 randomly selected Chinese A-share listed companies during the period from 2012 to 2017. It shows that the media big data, especially the negative media coverage, is highly associated with both short-term and long-term firm performance. Then, this study employs the system GMM method to testify how negative media coverage affects firm performance. It indicates that negative media coverage may be a damage crisis for the focal firm in the short term, but a favorable chance for change in the long run. These findings not only enrich the research on the influence of online media big data but also provide some references for enterprise managers.
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Murphy, Justin, and Daniel Devine. "Does Media Coverage Drive Public Support for UKIP or Does Public Support for UKIP Drive Media Coverage?" British Journal of Political Science 50, no. 3 (July 31, 2018): 893–910. http://dx.doi.org/10.1017/s0007123418000145.

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AbstractPrevious research suggests media attention may increase support for populist right-wing parties, but extant evidence is mostly limited to proportional representation systems in which such an effect would be most likely. At the same time, in the United Kingdom’s first-past-the-post system, an ongoing political and regulatory debate revolves around whether the media give disproportionate coverage to the populist right-wing UK Independence Party (UKIP). This study uses a mixed-methods research design to investigate the causal dynamics of UKIP support and media coverage as an especially valuable case. Vector autoregression, using monthly, aggregate time-series data from January 2004 to April 2017, provides new evidence consistent with a model in which media coverage drives party support, but not vice versa. The article identifies key periods in which stagnating or declining support for UKIP is followed by increases in media coverage and subsequent increases in public support. The findings show that media coverage may drive public support for right-wing populist parties in a substantively non-trivial fashion that is irreducible to previous levels of public support, even in a national institutional environment least supportive of such an effect. The findings have implications for political debates in the UK and potentially other liberal democracies.
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Hoffman, Aaron M., and José Kaire. "Comfortably Numb: Effects of Prolonged Media Coverage." Journal of Conflict Resolution 64, no. 9 (February 28, 2020): 1666–92. http://dx.doi.org/10.1177/0022002720907675.

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Exposure to a single report about terrorism in the mass media can trigger a range of emotional and political reactions. The consequences of exposure to several terrorism reports in row, however, are a matter of controversy. We examine the effects of prolonged terrorism coverage using an experimental design that combines self-report measures of emotions and political attitudes with instantaneous biometric data on emotions. Consistent with research on nonassociational learning, we find that exposure to multiple videos habituates people to depictions of terrorism: the longer people watch terrorism coverage, the less intense their reactions are to the images of terrorism they see. Some images and videos, however, contribute to this result more than others. This suggests that the ultimate effects of terrorism coverage depend on the interplay between the quantity and quality of reporting, not the quantity alone.
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Hilbert, Fee, Julia Barth, Julia Gremm, Daniel Gros, Jessica Haiter, Maria Henkel, Wilhelm Reinhardt, and Wolfgang G. Stock. "Coverage of academic citation databases compared with coverage of scientific social media." Online Information Review 39, no. 2 (April 13, 2015): 255–64. http://dx.doi.org/10.1108/oir-07-2014-0159.

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Purpose – The purpose of this paper is to show how the coverage of publications is represented in information services. Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, BibSonomy) were analyzed by applying a new method: the use of personal publication lists of scientists. Design/methodology/approach – Personal publication lists of scientists of the field of information science were analyzed. All data were taken in collaboration with the scientists in order to guarantee complete publication lists. Findings – The demonstrated calibration parameter shows the coverage of information services in the field of information science. None of the investigated databases reached a coverage of 100 percent. However Google Scholar covers a greater amount of publications than other academic citation databases and scientific social media. Research limitations/implications – Results were limited to the publications of scientists working at an information science department from 2003 to 2012 at German-speaking universities. Practical implications – Scientists of the field of information science are encouraged to review their publication strategy in case of quality and quantity. Originality/value – The paper confirms the usefulness of personal publication lists as a calibration parameter for measuring coverage of information services.
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Önder, Irem, Ulrich Gunter, and Arno Scharl. "Forecasting Tourist Arrivals with the Help of Web Sentiment: A Mixed-frequency Modeling Approach for Big Data." Tourism Analysis 24, no. 4 (November 13, 2019): 437–52. http://dx.doi.org/10.3727/108354219x15652651367442.

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Online news media coverage regarding a destination, a form of big data, can affect destination image and influence the number of tourist arrivals. Sentiment analysis extracts the valence of an author's perception about a topic by rating a segment of text as either positive or negative. The sentiment of online news media can be viewed as a leading indicator for actual tourism demand. The aim of this study is to examine if web sentiment of online news media coverage of four European cities (Berlin, Brussels, Paris, and Vienna) possesses information to predict actual tourist arrivals. This study is the first to use web sentiment for forecasting tourism demand. Automated semantic routines were conducted to analyze the sentiment of online news media coverage. Due to the differing data frequencies of tourist arrivals (monthly) and web sentiment indicators (daily), the MIxed-DAta Sampling (MIDAS) modeling approach was applied. Results indicate that MIDAS models including various web sentiment indicators outperform time-series and naive benchmarks in terms of typical accuracy measures. This study shows that utilizing online news media coverage as an indication of destination image can improve tourism demand forecasting. Because destination image is dynamic, the results can vary depending on time period of the analysis and the destination. A managerial implication of the forecast evaluation exercise is that destination management organizations (DMOs) should add models incorporating web sentiment data to their forecast modeling toolkit to further improve the accuracy of their tourism demand forecasts.
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Lühiste, Maarja, and Susan Banducci. "Invisible Women? Comparing Candidates’ News Coverage in Europe." Politics & Gender 12, no. 02 (May 3, 2016): 223–53. http://dx.doi.org/10.1017/s1743923x16000106.

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Past studies, largely based on the United States, have argued that differential coverage of men and women candidates could explain the lack of women in elected political office. We investigate, first, whether a gender bias exists in coverage of candidates and, second, the possible mechanisms underlying any differences in the amount and tone of candidates’ news media coverage. Using data from the 2009 European Election Study Media Analysis, drawn from media coverage in 25 EU member states during the European Parliament election campaigns, we find that, similar to previous research, there is evidence of a gender gap in the amount of media coverage. Even for highly prominent and competitive candidates, the gender bias in media coverage remains. However, this bias in media coverage largely reflects the parties’ preselection of viable candidates and that where there are remedies in place to address the underrepresentation of women (i.e., quotas), women candidates actually have lower visibility in campaign coverage. We also find that, though women candidates are more often the subject of valence evaluations in news stories, male candidates are more negatively evaluated in news stories.
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Muntasir, Muhammad. "Potret Kinerja Polri dalam Bingkai Media Analisis Kinerja Polri Menurut Rekam Data Media Massa 2014-2015." SIASAT 1, no. 1 (January 16, 2017): 16–21. http://dx.doi.org/10.33258/siasat.v2i1.38.

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This article explains that, although during 2014 the National Police played a major role in securing a series of electoral processes, there were still many media coverage exposure that contained negative sentiments about the performance of the other National Police that influenced people's perceptions and attitudes towards the National Police. Furthermore, during the 2015 quarter, the Police did not seem to be able / able to significantly take care measures to suppress the negative sentiment while increasing positive sentiment.
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Dissertations / Theses on the topic "Media coverage data"

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Atkins, Andrew Jarred. "School Shootings: How Race, Income and Class Affect Media Coverage." Kent State University Honors College / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1534157783735381.

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Gamlashe, Thembinkosi. "Freedom of the press, or the infringement of the right to privacy?: media coverage of President Kgalema Motlanthe from October 2008 to April 2009 in three newspapers." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1010118.

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The researcher attempts to assess in which respect the privacy of former President Kgalema Motlanthe may have been invaded during his presidency, in view of journalistic ethics and press codes currently in effect. The study will explore media practices based on media freedom at the time of publication, and assess whether this freedom is understood to suggest the infringement of the right to privacy in the coverage of the private lives of politicians in the media. This study will therefore examine a sample of articles from the Sunday Times, City Press and Mail and Guardian, covering former President Kgalema Motlanthe’s public behaviour that related to his private life, assess which aspects of his demeanour became the subject of media coverage, and correlate such reporting trends with fluctuations in his political career. The researcher will focus on the period when Kgalema Motlanthe was at the helm as the Head of State – from October 2008 to April 2009, and consider particularly the trends in the sampled press reports regarding his private life. The study furthermore examines some of the legislative and normative changes that affected the media in South Africa after democratisation, to correlate the trends observed in the press coverage with legislation. This further serves to identify possible gray areas that arise from reporting on the freedom of the press and may lead to the invasion of privacy.
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Books on the topic "Media coverage data"

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Iz dana u dan: Medijsko izvještavanje o ratu u BiH (1992-1996). Sarajevo: Media Centar, 2002.

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Kratz, Agatha, and Harald Schoen. Just Like Leaves in the Wind? Exploring the Effect of the Interplay of Media Coverage and Personal Characteristics on Issue Salience. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198792130.003.0003.

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This chapter explores the effect of the interplay of personal characteristics and news coverage on issue salience during the 2009 to 2015 period and during the election campaign in 2013. We selected four topics that played a considerable role during this period: the labor market, pensions and healthcare, immigration, and the financial crisis. The evidence from pooled cross-sectional data and panel data supports the notion that news coverage affects citizens’ issue salience. For obtrusive issues, news coverage does not play as large a role as for rather remote topics like the financial crisis and immigration. The results also lend credence to the idea that political predilections and other individual differences are related to issue salience and constrain the impact of news coverage on voters’ issue salience. However, the evidence for the interplay of individual differences and media coverage proved mild at best.
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Journalists Under Fire: Information War and Journalistic Practices. Sage Publications Ltd, 2006.

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Wagner, Aiko, and Elena Werner. TV Debates in Media Contexts: How and When Do TV Debates Have an Effect on Learning Processes? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198792130.003.0004.

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This chapter examines the effect of TV debates on political knowledge conditioned by the media context. We argue that TV debates take place in a wider media context and the extent of citizens’ learning processes about issue positions depends also on the informational context in general. We test four hypotheses: while the first three hypotheses concern the conditional impact of media issue coverage and debate content, the last hypothesis addresses the differences between incumbent and challenger. Using media content analyses and panel survey data, our results confirm the hypotheses that (1) when an issue is addressed in a TV debate, viewers tend to develop a perception of the parties’ positions on this issue, but (2) only if this issue has not been addressed extensively in the media beforehand. This learning effect about parties’ positions is bigger for the opposition party.
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Stelzmann, Daniela, and Josephine Ischebeck, eds. Child Sexual Abuse and the Media. Nomos Verlagsgesellschaft mbH & Co. KG, 2022. http://dx.doi.org/10.5771/9783748904403.

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Spectacular cases of child sexual abuse (CSA) dominate media coverage again and again, shaping our knowledge about a topic that is as sensitive as it is taboo. To date, a scholarly overview of the current state of media coverage of SBC has been lacking. This book attempts to shed light on the connections between SBCs and the media in a variety of ways, incorporating different studies and perspectives from practitioners. It thus provides a comprehensive overview of relevant issues raised in the context of CSA and the media.
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Chadwick, Andrew. Systemic Hybridity in the Mediation of the American Presidential Campaign. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190696726.003.0008.

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Chapter 7 continues the revisionist approach of chapter 6, but paints the 2008 U.S. presidential campaign on a broader canvas. Through a detailed analysis of key episodes in the mediation of the campaign, the chapter shows how the real-space spectacles of candidate appearances continue to generate the important television, radio, and newspaper coverage that remains so crucial for projecting the power of a candidate and conveying enthusiasm, movement, authenticity, and common purpose to both activists and nonactivists alike. The chapter discusses how these television-fuelled spectacles now also integrate with newer media logics of data-gathering, online fundraising, tracking, monitoring, and managed volunteerism. A major theme running through this chapter is the growing systemic integration of the internet and television in presidential campaigns. It also shows how the hybrid media system can shape electoral outcomes by providing new power resources for campaigns that can create and master the system's modalities.
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Isurin, Ludmila. Reenacting the Enemy. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197605462.001.0001.

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This book discusses how group memories about recent political events are constructed by the media of the group and how the information provided by the media is consumed by individual minds to form memories of those events. Based on the accumulated research in three distinct areas—collective memory, media, and the mind—the book offers an interdisciplinary sociocognitive framework within which a case study of Russian and American memory construction is investigated. The analysis of seven political events involving Russia that took place in the second decade of the 21st century and were discussed in Russian and American media outlets showed how ideological bias, distortion, and schemata worked to push against the other in an attempt to establish a narrative that reenacted an old and now reemerged enemy. By initially invoking not entirely forgotten stereotypes from the decades of the Cold War and later reinforcing those with new stories that perfectly fit old narrative frames, the two countries—via their respective media—became engaged in an information war that ultimately aimed at reaching the minds of people in those two countries. Those minds, however, while consciously questioning the trustworthiness of news coverage by their respective media, have formed memories along the ideological lines provided by the very media that they claim they do not trust. The book brings together two different methodologies and resources: content analysis of media texts and empirical data from human participants.
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Garretson, Jeremiah J. The Path to Gay Rights. NYU Press, 2018. http://dx.doi.org/10.18574/nyu/9781479822133.001.0001.

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Why Tolerance Triumphed is the first accessible, data-driven account of how the LGBTQ movement achieved its most unexpected victory---the liberalization of mass opinion on gay rights. The current academic understanding of how social movements change mass opinion---through sympathetic media coverage and endorsements from political leaders---cannot provide an adequate explanation for the phenomenal success of the LGBTQ movement at changing the public’s views. The book argues that these factors were not the direct cause of changing attitudes, but contributed indirectly by signalling to other LGBTQ people across the United States that their lives were valued. The net result was a huge increase in the number of LGBTQ people who ‘came out’ and lived their lives openly. Building on recent breakthroughs in social and political psychology, the study introduces the theory of Affective Liberalization. This theory states that meeting and interacting with lesbians and gays in person---or by watching lesbian and gay characters via entertainment media---leads to more durable attitude change by subtly warming peoples’ subconscious reactions to lesbians and gays. Using expansive date-sets and cutting edge social science methods, the book finds that increased exposure to LGBTQ people, triggered by ACT-UP’s activism, provides a singular, compelling and complete explanation for the success of the LGBTQ movement in changing mass opinion.
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Alfano, Mark, and Joshua August Skorburg. Extended Knowledge, the Recognition Heuristic, and Epistemic Injustice. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198769811.003.0014.

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This chapter argues that the interaction of biased media coverage and widespread employment of the recognition heuristic can produce epistemic injustices. It explains the recognition heuristic as studied by Gigerenzer and colleagues, highlighting how some of its components are largely external to the cognitive agent. Having connected the recognition heuristic with recent work on the hypotheses of embedded, extended, and scaffolded cognition, it argues that the recognition heuristic is best understood as an instance of scaffolded cognition. It considers the double-edged sword of cognitive scaffolding before using Fricker’s (2007) concept of epistemic injustice to characterize the nature and harm of these false inferences, emphasizing the Darfur Inference. Finally, it uses data-mining and an empirical study to show how Gigerenzer’s population estimation task is liable to produce Darfur Inferences. It ends with some speculative remarks on more important Darfur Inferences, and how to avoid them by scaffolding better.
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MA, Xiao. Localized Bargaining. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197638910.001.0001.

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China’s high-speed railway network is one of the largest infrastructure programs in human history. Despite global media coverage, we know very little about the political process that led the government to invest in the railway program and the reasons for the striking regional and temporal variation in such investments. In Localized Bargaining, Xiao Ma offers a novel theory of intergovernmental bargaining that explains the unfolding of China's unprecedented high-speed railway program. Drawing on a wealth of in-depth interviews, original data sets, and surveys with local officials, Ma details how the bottom-up bargaining efforts by territorial authorities—whom the central bureaucracies rely on to implement various infrastructure projects—shaped the allocation of investment in the railway system. Territorial authorities and their leaders engage in localized bargaining to navigate and forge consensus among the fragmented entities that comprise the central bureaucracy; those who do so effectively gain an advantage for their localities. The book demonstrates in detail how localities of different types invoke institutional and extra-institutional sources of bargaining power in their competition for railway stations. These dynamics have broader implications for our understanding of the institutional arrangements that shape modern-day China and explain such phenomena as its economic miracle and the resilience of the communist government.
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Book chapters on the topic "Media coverage data"

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Ma, Shihan, and Andrei Kirilenko. "How Reliable Is Social Media Data? Validation of TripAdvisor Tourism Visitations Using Independent Data Sources." In Information and Communication Technologies in Tourism 2021, 286–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_26.

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AbstractSocial media data has been rapidly applied as alternative data source for tourism statistics and measurement in recent years due to its availability, easy collection, good spatial coverage at multiple scales, and rich content. However, frequent criticism towards the social media is the bias towards the population of social media users leading to unknown representativeness of the entire population. The purpose of this study is to cross-validate the reliability and validity of visitation pattern of tourist destinations retrieved from the social media using alternative independent data sources. The primary social media data is TripAdvisor reviews of Florida attraction points, restaurants, and hotels. The inferred visitation pattern was validated against two independent datasets: cellphone tracking data and official visitor surveys. The validity was explored in tourist origins, destinations, and travel flows. Repetitively, travel patterns inferred from the social media were found strongly correlated to those from cellphone tracking and surveys. The visitation data obtained from social media was concluded to be reliable and representative.
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Rinscheid, Adrian, and Linards Udris. "Referendum Campaigns in Swiss Energy Policy." In Swiss Energy Governance, 283–312. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80787-0_12.

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AbstractWhat are the patterns in media coverage in Swiss energy policy-making, and to what extent do the media influence voters’ decisions at the ballot? In a first step, this chapter provides a comparative investigation of media coverage in the run-up to three recent energy-related referenda (2015 initiative “Energy tax instead of VAT”; 2016 nuclear phase-out initiative; 2017 referendum on the federal Energy Strategy 2050), with 31 other referenda between 2014 and 2018 as a benchmark. Based on a content analysis of articles published in 21 Swiss newspapers, our analysis demonstrates that the three energy-policy referenda are characterized by patterns similar to non-energy votes but also have distinct features. In a second step, we specifically focus on the 2016 nuclear phase-out initiative, which was characterized by balanced newspaper reporting, and explain voting behavior by linking data on media coverage and individual-level data from a panel survey (n = 1014). The analysis relies on “linkage analysis”, a method that takes media contents as quasi-experimental stimuli to explain individual-level outcomes. We find that the failure of the phase-out initiative can be partly explained by exposure to newspaper coverage: one in four left-wing voters who had initially been in favor of the popular initiative but were exposed to strongly negative coverage about it during the “hot” campaign phase changed their initial voting intention. The analysis also suggests that the media coverage may have helped center/right-wing voters to learn about their preferred party’s position so as to align their vote choice with their political predisposition.
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Jungblut, Marc. "Content Analysis in the Research Field of War Coverage." In Standardisierte Inhaltsanalyse in der Kommunikationswissenschaft – Standardized Content Analysis in Communication Research, 125–36. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36179-2_11.

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AbstractWe live in an age of conflicts: Following data by the Uppsala Conflict Data Program, the number of violent conflicts reached a peak after the year 2014 that was only matched by the early 1990s and resulted in a total number of 160 different conflicts in 2018. The analysis of how these conflicts are covered draws its relevance from the fact that conflict is often mediated since most wars take place outside of people’s direct sphere of experience. Consequentially, war coverage can influence the perceived relevance of a conflict, the predominant interpretation of conflict events, the public’s attribution of conflict roles (e.g. victim, perpetrator or hero) and the public support for conflict interventions. Content analytical research on war coverage mostly focuses on two main research interests. They either analyze (1) how independent the media is from political influences or they examine (2) how (different types of) media cover conflicts.
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Mugira, Fredrick. "Reporting shared narratives: establishing transboundary cooperation through media." In Water conflicts and cooperation: a media handbook, 28–33. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247954.0007.

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Abstract This chapter addresses an often overlooked area in water diplomacy: the role of journalists in ensuring transboundary cooperation in shared rivers, shaping perceptions and contributing to define the scope of water debates and negotiations. A good example of balanced water coverage is described, i.e. the InfoNile.org, which is a geojournalism platform that combines interactive maps with stories to promote local data journalism on topics related to water and the environment in the Nile Basin. InfoNile is bridging gaps between Nile Basin scientists, researchers, journalists and the general public to increase mutual awareness and understanding of the various dimensions of covering water.
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Jaakkola, Maarit. "Content Analysis in the Research Field of Cultural Coverage." In Standardisierte Inhaltsanalyse in der Kommunikationswissenschaft – Standardized Content Analysis in Communication Research, 227–38. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36179-2_20.

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AbstractThe study of culture in media or mediated culture—referred to here as the study of cultural coverage—often makes use of content analysis to build up a more systematized knowledge of possibly evolving patterns that can only be observed by gathering certain amounts of data over a certain period of time. Typically, content analysis is employed to trace the anatomy of the mediated culture, either as hierarchies of artistic forms or of as a representation of a specific cultural phenomenon. Content analysis is also applied to identify the mechanisms of mediation and follow their evolution over time, i.e., cultural change.
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Su, Lijuan, and Svetlana Stepchenkova. "The Impact of Crisis Characteristics and Media Coverage on the Public’s Attitude Toward Tourism Organization Expressed on Sina Weibo." In Information and Communication Technologies in Tourism 2021, 302–7. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_28.

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AbstractTourism and hospitality crises that are extensively discussed online are damaging to organizational image and reputation; therefore, choosing effective response strategies is of paramount importance for service providers. The online discussions data from six hospitality and tourism related crises were used to test which crisis and media coverage characteristics significantly affected the public’s emotional and behavioral reactions to crises. With reference to the attribution theory and the situational crisis communication theory, this study identified the potentially influential crisis characteristics, hypothesized their relationship with variables describing consumer reactions to crises, and then tested those relationships in a series of ANOVA and hierarchical regression analyses. Results indicated that the locus of control, crisis stability, attribution of organizational responsibility, and organizational response strategy affected the public’s cognitive and emotional responses to crises most strongly. The attractiveness and goodwill of media sources also had an effect, as well as the quality and fairness of messages. This study makes a methodological contribution to tourism research by training machine-learning classifiers prior to conducting hypothesis testing. Identifying the most influential factors affecting the public’s response to crises can serve as guidelines for tourism and hospitality organizations in monitoring the spread of online crisis discussions and developing the most appropriate response in order to minimize consumers’ negative emotions that affect online and off-line behavior toward the organization and its brand.
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Rieder, Maria, Henry Silke, and Hendrik Theine. "Media Coverage of Economic Inequality." In Economic Inequality and News Media, 106–23. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190053901.003.0006.

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Chapter 6 at first introduces the design of the empirical study (research agenda, approach, and methods adopted) of newspaper coverage of economic inequality in four countries. It describes the key selections and methods which defined the corpus of empirical materials at the heart of the authors’ original primary research. It then provides a summary overview of key aspects of our empirical research findings. Next, there is a summary discussion of the overall findings from the authors’ corpus of news media materials and data collection strategies. The chapter proceeds to examine the particular arguments in Piketty’s book which are either highlighted or neglected by the coverage in the newspaper articles forming the corpus of primary materials. It then moves on to present overall assessments of the coverage of Piketty’s book by the selected news media in the four countries. The authors identify and discuss how individual newspapers in the sample tend to agree or disagree with the key themes and argument in Piketty’s book. Responses engaging with the methods and data informing Piketty’s research and publications are also considered. Next, the chapter considers the newspapers’ engagement with discourses on economic inequality and the authors’ stances on whether or not economic inequality is problematic for the economy and society. An initial summary overview of trends in the discussion of Piketty’s policy proposals is presented, and the chapter concludes with the importance of sourcing. The following tables/graphs and figures—unless otherwise declared—are derived out of our empirical project and refer to original data generated throughout the project.
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Cheney, Debora. "Big Data, Text Mining, and News Content." In Advances in Media, Entertainment, and the Arts, 133–51. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8580-2.ch008.

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Mining the natural language text of news content has great potential for academic researchers seeking to understand and visualize patterns and relationships buried within everyday news coverage and content. Mining news can help researchers across many disciplines understand the impact of news, biases in news coverage, and language usage. It can also help them detect unknown patterns in news coverage. However, researchers must understand the challenges of using news text for text-mining-based research. Many challenges are inherent in the news form, including the complexity of the news environment; changing patterns of news consumption and distribution; growing use of social media; and the use of visual and audio information. Additional challenges relate to determining if the news content is available in a digital format, access and license restriction on use of the news text, and how complete and completely searchable the news text really is. This chapter explores these challenges and the impact they may have on how researchers gain access to news text, and methodologies used.
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Ogwezzy-Ndisika, Abigail Odozi, and Babatunde Adeshina Faustino. "Gender Responsive Election Coverage in Nigeria." In Advances in Media, Entertainment, and the Arts, 234–49. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9613-6.ch015.

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This article appraises media coverage of elections in Nigeria with a view to determining the extent it is gender responsive. Specifically, it assesses media coverage of elections and highlights the implications for gender equitable politics in Nigeria; provides data on coverage of both men and women during 2011 general elections; and reviews whether media personnel have fulfilled their social responsibility expectations such as gender equality goals to which the Nigerian state has pledged to in many international instruments. Data for the study were mined from existing documents on media coverage of elections in Nigeria collected, during the 2011 general elections across the six geopolitical zones; and African Media Barometer 2008 and 2011.This score card brings to the fore the extent Nigerian media personnel are implementing the Beijing Platform for Action; and the findings can be used for policy formulation on media reportage and programming for gender responsive election coverage.
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Gwilt, Ian. "Data-Objects." In Digital Media and Technologies for Virtual Artistic Spaces, 14–26. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2961-5.ch002.

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This chapter discusses a current shift away from thinking about ideas of virtual reality, towards a conversation around hybrid digital/physical constructs and the notions of mixed or augmented reality. In particular the chapter explores how physical artifacts that are based on data extracted from computer generated virtual spaces are being created as a way of challenging how we read, interpret, and respond to digital information. This emerging trend for the realization of data sets into three-dimensional (3D) physical objects is discussed from the perspective of creative practice and digital information visualization. In these new constructs, digital data sets are concretized into a physical form, remediated from information sources, such as mobile phone coverage records, crime statistics, and temperature patterns. Through a series of examples, the chapter will investigate how these tangible translations can change our relationship to screen-based digital content, in particular statistical data, and seeks to reveal how by encoding digital information into a physical object we can establish a way of reading this data through spatial, temporal, and material variations that sit outside of the computer-monitor and the digital environment. Rapid prototyping making techniques are discussed as a trigger for a conversation around the ontological and epistemological readings of these liminal physical/data objects.
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Conference papers on the topic "Media coverage data"

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Hauser, Christian, Urs Dahinden, Vincenzo Francolino, and Ives Ziegler. "Big Data Framing About Media Coverage in Switzerland and the USA." In 2019 6th Swiss Conference on Data Science (SDS). IEEE, 2019. http://dx.doi.org/10.1109/sds.2019.00-16.

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Reitberger, Gunther, and Susanne Wetzel. "Investigating the impact of media coverage on data breach fatigue." In 2017 IEEE 38th Sarnoff Symposium. IEEE, 2017. http://dx.doi.org/10.1109/sarnof.2017.8080399.

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Lansdall-Welfare, Thomas, Saatviga Sudhahar, Giuseppe A. Veltri, and Nello Cristianini. "On the coverage of science in the media: A big data study on the impact of the Fukushima disaster." In 2014 IEEE International Conference on Big Data (Big Data). IEEE, 2014. http://dx.doi.org/10.1109/bigdata.2014.7004454.

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Hristova, Gloria, and Nikolay Netov. "Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020466.

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Peng, Yijun. "Media Coverage to Panel Data Analysis on the Impact of Listed Companies’ Debt Financing Costs." In The International Conference on Big Data Economy and Digital Management. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011163100003440.

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K. Murphy, Catherine. "Student Content Analysis of Business News Coverage." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2544.

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Content analysis of media coverage provided a setting for group work, critical thinking, research, and data analysis. The analysis was motivated by a series of news stories that had damaged the reputation of the local community. The question was whether local news coverage was negative toward the business community. A business class addressed the problem and found that articles that business would view as favorable predominated. Based on their research, the class formulated a public relations strategy. Although this setting is a business class, content analysis of news media would work in other classes that emphasize critical thinking and problem solving.
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Ekaterina, Sidorina. "DIGITAL INJECTION OF UNCERTAINTY: THE INFLUENCE OF SOCIAL MEDIA ON VACCINATION HESITANCY IN THE EUROPEAN UNION." In 5th International Scientific Conference – EMAN 2021 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2021. http://dx.doi.org/10.31410/eman.2021.149.

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The influence of social media on vaccine hesitant users is concerning, as it most often negatively affects the decision about vaccination of oneself and their children, encourages the spread of misinformation and leads to the endangerment of the population. Giving all the potential that the online sphere obtains, this work is meant to bring awareness of the issues caused by social media regarding anti-vaccination and encourage closer monitoring of such content in order to battle hesitancy. The territory of interest for this research is European Union, as despite its unsullied prior record, the most recent data has been showing outbreaks of vaccine-preventable diseases due to insufficient vaccination coverage rates. (European Commission, 2016) Analyzing European vaccination data and patterns, EU-focused academic researches and literature and social media presence of the “anti-vax” campaigns, the work brings up the prospects and suggestions for the possible solutions to the problem.
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Aziminejad, Arash, and Yan He. "Access Point Placement Optimization for a CBTC System Wireless Data Communication Network." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8003.

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Abstract Radio-based Communication-Based Train Control (CBTC) systems are widely utilized in major urban centers around the world to improve capacity, performance, and safety of public rail transportation systems. The system primary functionalities are performed based on the wireless mobile communication media, through which wayside-onboard communication data links are established. The focus of the presented research is to improve the performance of the CBTC wireless network by providing an efficient framework for placement optimization of the wayside transceivers aiming to maximize the radio coverage. The QoS-oriented convex optimization cost function is based on a heuristic model of radio wave propagation in the tunnel environment. The optimization engine uses the robust, efficient, and well-behaved Nelder-Mead algorithm. Furthermore, to provide reliable means for verification, numerical results are compared with measured data produced through an empirical site survey process performed for an actual CBTC system deployment.
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Dutta, Sujan, Beibei Li, Daniel S. Nagin, and Ashiqur R. KhudaBukhsh. "A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/702.

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In this paper, we analyze the responses of three major US cable news networks to three seminal policing events in the US spanning a thirteen month period--the murder of George Floyd by police officer Derek Chauvin, the Capitol riot, Chauvin's conviction, and his sentencing. We cast the problem of aggregate stance mining as a natural language inference task and construct an active learning pipeline for robust textual entailment prediction. Via a substantial corpus of 34,710 news transcripts, our analyses reveal that the partisan divide in viewership of these three outlets reflects on the network's news coverage of these momentous events. In addition, we release a sentence-level, domain-specific text entailment data set on policing consisting of 2,276 annotated instances.
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Weber-Stein, Florian, and Joachim Engel. "The COVID-19 Crisis as a Challenge for the Integration of Statistical and Citizenship Education." In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t1e1.

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The COVID-19 crisis has shown how fundamentally important it is to weigh up risks and probabilities on the basis of statistical data for shaping social coexistence. A vibrant democracy that wants to prove resilient to expertocratic strategies of rule needs citizens who take part in public deliberations and intervene in political affairs. However, without a basic understanding of statistical concepts, it is difficult to follow media coverage of the pandemic and policy actions taken, let alone intervene in political processes. It is therefore necessary to link statistical and citizenship education. We present our concept of a joint course for mathematics and political science students preparing to be secondary teachers that is currently given at Ludwigsburg University of Education (Germany). Empirical results are forthcoming.
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Reports on the topic "Media coverage data"

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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, Jonathan Forman, James Revill, John Borrie, Crister Åstot, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, December 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider some of the wider economic and political requirements for their adoption. The growing number of space-based sensors is raising confidence in what open-source satellite systems can observe and record. These systems are being combined with local knowledge and technical expertise through social media platforms, resulting in dramatically improved coverage of the Earth’s surface. These open-source tools can complement and augment existing treaty verification and monitoring capabilities in the nuclear regime. Remote sensing tools, such as uncrewed vehicles, can assist investigators by enabling the remote collection of data and chemical samples. In turn, this data can provide valuable indicators, which, in combination with other data, can inform assessments of compliance with the chemical weapons regime. In addition, remote sensing tools can provide inspectors with real time two- or three-dimensional images of a site prior to entry or at the point of inspection. This can facilitate on-site investigations. In the past, trade data has proven valuable in informing assessments of non-compliance with the biological weapons regime. Today, it is possible to analyse trade data through online, public databases. In combination with other methods, open-source trade data could be used to detect anomalies in the biological weapons regime. AI and the digitization of data create new ways to enhance confidence in compliance with WMD regimes. In the context of the chemical weapons regime, the digitization of the chemical industry as part of a wider shift to Industry 4.0 presents possibilities for streamlining declarations under the Chemical Weapons Convention (CWC) and for facilitating CWC regulatory requirements.
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