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1.
A content analysis of 4,507 tweets from 60 local news organizations in the United States was conducted to examine Twitter strategies used by the local news industry. Results indicate that local news organizations in the United States mainly used Twitter as an additional platform for news dissemination. While local TV stations and newspapers differed significantly in their use of tweet structures, content, and strategies, both followed the similar practices of their traditional media portals. In addition, the number of followers and total tweets of a news organization’s Twitter account, use of photos, hashtags, usernames, and tweet content predicted audience engagement with the site. Overall, local news organizations in the United States did not appear to use Twitter to cross-promote and/or supplement their traditional business practices. This research calls for more systematic, multi-dimensional social media management in local newsrooms.  相似文献   

2.
This study is a social media analysis on the use of Twitter at Historically Black Colleges and University (HBCU) libraries. While information science researchers have begun examining how libraries use social media, the vast majority of these studies are situated at large flagship research-intensive universities. Additionally, there currently exist deficiencies in research on social media deployment at HBCU libraries. We leverage, the IBM Watson's analytic engine, to systemically examine over 23,000, tweets over an eighteen-month period, around a set of objective measures including propagation of retweets and sentiment to assess follower engagement. The analysis found little evidence of follower engagement with library generated content. However, we observed a substantial volume of library tweets coalesced around institutional boosterism, rather than library related phenomena. This non-library related content represented the vast majority of retweets, but paradoxically was propagated by non-followers. Additionally, tweets relating to institutional boosterism produced the most positive sentiment within the data.  相似文献   

3.
Those tasked with disseminating life-protecting messages during crises have many factors to consider. Social media sites have become an information source for individuals during these times, and more research is needed examining the use of specific message strategies by emergency management agencies that may elicit attention and retransmission. This study examines Twitter content concerning Hurricane Joaquin. Content analysis of tweets from state emergency management accounts was performed to provide an overview of the content and stylistic elements used in tweets associated with the event. The findings are discussed in the context of both past research on the matter and implications for emergency management agencies responding to high-consequence events.  相似文献   

4.
This study examined how news organizations employed Twitter as a news source, based on information subsidy and gatekeeping perspectives. News content analysis from 7 major media entities in 2010–2011 demonstrated that journalists embraced Twitter as a new channel for information gathering. TV frequently cited Twitter as a sole or a primary source. However, despite active usage of Twitter overall, journalists in both TV and newspapers maintained conventional routines by relying primarily on Twitter accounts of official sources. The popularity of Twitter accounts, as indicated by the number of followers, did not contribute to attracting more attention from journalists.  相似文献   

5.
People spend an increasing amount of time using social media systems to network, share information, learn, or engage in leisure activities (e.g., gaming). Libraries too are establishing a social media presence to promote the library and provide services to user populations through the social media systems the users frequent. This study explores Twitter uses by six large academic libraries and factors that make library tweets useful. 752 tweets were analyzed by topic to develop a subject typology of library tweets. In addition, tweets and Twitter user characteristics were analyzed to explore what makes library tweets useful, as measured by the number of retweets and favorites received. Content analysis of the samples of library tweets revealed nine content types, with the event and resource categories being the most frequent. In addition, the analysis showed that tweets related to study support services and building and maintaining connections with the library community were the most frequently retweeted and selected as favorites. The presence of a URL in the tweet was positively associated with the number of retweets, and the number of users followed was positively associated with the number of favorites received. Finally, a negative correlation was found between the account age and number of favorites.  相似文献   

6.
This article examines with whom political journalists interact on Twitter and what information they share. These relations are explored by combining a content analysis and a network analysis of interaction patterns. The activities published on journalists’ personal accounts are studied. Prior research has shown that elite journalists, in particular, mainly seek to remain gatekeepers and tend to normalize emerging communication spaces. Only one-quarter of the parliamentary correspondents in the German Federal Press Conference had an individual Twitter profile as of February 2014. The content analysis of all tweets published during a week in March 2014 (N?=?2210) reveals that German political journalists clearly normalize Twitter to fit existing practices: the journalists mostly tweeted about publicly relevant communication and reported in an information-oriented style. Transparency was limited on their topics of interest, and they did not provide direct opportunities for the audience to become more active in the news-creation process. The network analysis shows that the correspondents especially incorporated politicians into their regular circle of contacts. Nevertheless, the interaction networks were clearly dominated by exchanges between journalists. In this way, journalists’ tweets allow us to observe expert talks rather than encouraging users to participate in a discussion.  相似文献   

7.
Twitter updates and expands television’s cultural forum model by letting viewers speak to current events such as the Black Live Matter (BLM) movement. This article analyzes 1,985 tweets in response to three television episodes (Law & Order: SVU, The Good Wife, and Scandal) that dramatized BLM, and identifies five common themes in how viewers address these representations: thematic appropriateness, timing, producers’ qualifications, institutional critiques, and the purpose of entertainment television. This study concludes that Twitter facilitates a meta-commentary, which expands traditional discussions of entertainment programming, and that these programs transcend “mere” entertainment to become critiques of larger social movements.  相似文献   

8.
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The media are normatively expected to play significant roles in conflictual discussions within national and international communities. As previous research shows, digital platforms make scholars rethink these roles based on media behavior in online communicative environments as well as on the structural limitations of the platforms. At the same time, traditional dichotomies between information dissemination and opinion formation roles, although seemingly universal, also vary across cultures. We look at four recent conflicts of comparable nature in the United States, Germany, France, and Russia to assess the roles that legacy media have performed in the respective ad hoc discussions on Twitter. Our approach differs from previous studies, as we combine content analysis of tweets by the media and journalists with the resulting positions of the media in the discussion graphs. Our findings show that, despite the overall trend of the “elite” and regional media sticking to information dissemination, online-only media and individual journalists vary greatly in their normative strategies, and this is true across countries. We also show that combining performance in content and social network analysis may allow for reconceptualization of media roles in a more flexible way.  相似文献   

9.
Focusing on the dataset dissemination structure on Twitter, this study aims to investigate how users of two different identities, scholars and the public, participate in the dissemination process. We collected 2464 datasets from Altmetric.com and used social network analysis to plot the graphs. From a macroscopic viewpoint, most datasets were diffused by viral dissemination (structure II) and mixed dissemination (structure III), and the diffusion level was fundamentally one or two levels. Based on the topics clustering results of the datasets, the majority were about open access, research data, and Altmetrics, as well as astronomy, biology, medicine, and environmental engineering. The dataset dissemination structure shared a little relationship with the research topic. From the microscopic viewpoint of parent nodes and child nodes, during the dataset dissemination, there were only marginally more Twitter users with scholar status than non-scholar ones, suggesting that compared with traditional academic accomplishments such as journal papers. However, the dataset seems to be more professional and targeted; significant audience beyond academics are also involved. During disseminating datasets on Twitter, most tended to be diffused among users of the same identity. However, a few non-scholars played crucial roles, such as super users and intermediaries. Overall, a considerable part of tweets and tweets of parent nodes with the ability to spread is primarily the tweets commented simultaneously forwarded (type II) are posted at the same time commented. Hence, this study underlines the significance of research data-sharing and social media's role in public participation in science.  相似文献   

10.
A content analysis examined the Twitter sites of 488 local television stations in the United States, based on a strategic and tactical model of media promotion. One finding of the study was that news stories were the most frequently occurring items on the sites. However, stations that offered news items also seldom promoted their regular newscasts. Overall, stations did not appear to use Twitter to direct viewers to the station's on-air programming.  相似文献   

11.
The use of second screens to dual-view television and social media is exponentially increasing. As a result, television producers are increasingly augmenting television content with social media comments from viewers, which may serve as a type of real-time public opinion indicator. The current research effort utilizes two experimental studies to explore the effects of this new media production practice on viewer's attitudes and opinions. In these studies, a Twitter feed was integrated in to entertainment (Study 1) and political (Study 2) television broadcasts and manipulated to convey either positive or negative opinions of the content. Participants' opinions were found to conform to the majority opinion presented in the manipulated Twitter feed in nearly all of the analyses. Implications for dual viewing and second screen use are discussed in light of findings.  相似文献   

12.
After Officer Darren Wilson fatally shot African American teen Michael Brown in August 2014, rioters unleashed their anger on the streets of Ferguson, Missouri. Using content analysis and framing theory, this study analyzed how news organizations covered events in Ferguson on Twitter over the course of a month immediately following the shooting. Protesters were framed as troublemakers; but community leaders were not framed as “rabble-rousers.” Journalists continued to rely on official sources more than alternate sources in spite of criticism of law enforcement and other political elites, but nearly 10% of the coded tweets that relied on official sources included some element of skepticism. Tweets from cable news outlets did not show partisan bias in any significant amount; and traditional legacy news media sources utilized the Twitter platform enhancements—such as article links, photos, links to other content, or hashtags—more than their new digital media counterparts. As Twitter launched #ferguson into the national consciousness, it is quite plausible that the framing of the tweets by news agencies may have molded perceptions of larger issues about the racial health of the nation, established policies of law enforcement, and the challenge of elected leaders to resolve explosive domestic problems.  相似文献   

13.
Can the comments of a few viewers on social media affect viewers’ perceptions of audience sentiment or their own program enjoyment? If so, do the effects of comments vary based on their valence or placement during programming? We conducted a 2 (positive vs. negative tweets) x 2 (beginning vs. end of program) factorial experiment with an additional control condition (N = 196) to answer these questions. Negative comments undermined perceived bandwagon support for the program and reduced enjoyment, regardless of contextual or trait moderators. Findings suggest that the effects of social television may be attributable to systematic processing of bandwagon cues.  相似文献   

14.
It is becoming exceedingly important for scholars to study and understand how Twitter is influencing news reporting. Using quantitative content analysis, this paper examines the use of tweets as quotes in alternative web-only news organizations compared to traditional print organizations. This study uses a quantitative content analysis of more than 1000 quoted tweets and more than 3000 news articles from The New York Times, The Washington Post, Buzzfeed News, and The Huffington Post. Findings suggest that while print news publications most often use Twitter to quote official sources and for opinion comments, alternative web-only news publications use the medium differently. Additionally, alternative web-only news publications quote Twitter in a higher proportion of articles.  相似文献   

15.
Many altmetric studies have analyzed which papers were mentioned how often on Twitter (one of the most important altmetrics sources). In order to study the potential relevance of tweets from another perspective, we investigate which tweets were cited in papers. If many tweets were cited in publications, this might demonstrate that tweets have substantial and useful content. Overall, a rather low number of citations to tweets (n=13,149) by less than 7,000 papers was found. Most tweets do not seem to be cited because of any cognitive influence they might have had on studies; they rather were study objects. Thus, this study does not support a high relevance of tweets (for research). Most of the papers that cited tweets are from the subject areas Social Sciences, Arts and Humanities, and Medicine. Most of the papers cited only one tweet. Up to 65 tweets cited in a single paper were found. An author keyword analysis revealed that the single largest topic seems to be the COVID-19/corona pandemic.  相似文献   

16.
We are proposing a feedback model of news processing, assuming that news reception is guided by media input as well as by existing cognitive structures. However, these structures are in turn shaped by former media coverage. In our study we examine viewers’ processing of TV news, comparing objective news content (content analysis) to subjective meaning of news stories (viewer interviews). Results show that viewers interpret information about new events in the context of past events, themselves mainly a reflection of former media coverage.  相似文献   

17.
The work presented here characterise the engagement of one university library with two social media platforms popular with academic libraries. The collected data are analysed to identify the forms of Twitter and Facebook activity that engage library stakeholders in social media conversations. Associations were observed between: i) directed tweets from the library and mentions of the library by others on Twitter; and ii) comments from the library and comments from others on Facebook. Three broad classes of Twitter user interacting with the library were revealed: i) accounts strongly linked to the library with multiple to/from tweets; ii) those weakly linked to the library with, typically, a single tweet; and iii) those indirectly linked to the library through tweets mentioning the library and sent by other users. Two divergent forms of Facebook interaction with the library were highlighted: i) a library post generating a large sequence of comments, typically in response to a competition/challenge; and ii) a library post with no comments, typically a photo post or a post inviting readers to click a link to find out more about an event/service. The work presented here is an initial investigation that provides useful insights, and offers a methodology for future research.  相似文献   

18.
This study employed an online survey (N = 310) to explore how viewers’ motivations for social TV participation influence their involvement in social TV activities, their program commitment, and network loyalty. Findings show that social infotainment and social companionship are the primary motivations of social TV participation. However, only social infotainment significantly predicts the intensity of viewers’ social TV usage, which has a positive influence on program commitment and network loyalty. Additionally, the relationship between social TV usage and network loyalty is partially mediated by program commitment. These findings demonstrate the value of social TV to broadcasters and provide directions for initiating and maintaining long-term relationships with viewers.  相似文献   

19.
This study investigates networked framing of terrorism news in Twitter by distinguishing three proximity effects (geographic, social, and temporal proximity) on audience and media institutional frames (i.e., episodic/thematic and space frames), based on construal-level theory. An analysis of tweets during the Boston Marathon bombing and the Brussels Airport attack finds that institutional and audience frames show similarity but do not always converge on Twitter. Similarities in the audience and institutional frames are attributed to a universal human tendency for social categorization, inherent in the minds of not only ordinary citizens but also journalists. Proximity effects, however, were more salient on audience frames than on institutional frames.  相似文献   

20.
This study investigates how audience members relate to and vicariously interact with multiple characters while viewing a narrative. Under the framework of the theory of situation models, we applied a real-time thought-listing technique that incorporated Twitter and focused on three debuting TV dramas to explore how the participants followed multiple characters while watching prime-time television dramas. We examined 3,274 tweets across the three TV series and found that monitoring a greater diversity of characters is associated with an increased number of questions asked and more accurate predictions of future events. The participants who made more accurate predictions had higher narrative engagement. In addition, the participants who had more thoughts about the self tracked a greater diversity of characters and made more accurate predictions about the plot. The results are discussed in terms of the developing literature on narratives in mass communication and entertainment research.  相似文献   

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