Emotion monitoring and abnormal warning based on online comments

2013 ◽  
Author(s):  
Hong Li ◽  
Jianxin Zhang
Keyword(s):  
Online Comments

scholarly journals Ostracism and nationalism in the workplace: discursive exclusionary practices between cultural and geographic neighbors

2021 ◽  
Author(s):  
Thomas Köllen ◽  
Susanne Kopf
Keyword(s):  
Turnover Intention ◽  
National Identities ◽  
Exclusionary Practices ◽  
Online Comments ◽  
Norm Group ◽  
Employee Groups ◽  
The Given ◽  
Organizational Mechanisms ◽  
Shed Light

AbstractSo far, management research on mechanisms of exclusion of employee groups has mainly applied constructs of racism to understanding issues of origin-based ostracism. This research has primarily focused on issues faced by employees whose heritage is markedly different from the heritage shared by the norm group in the given socio-cultural, linguistic, and geographical setting. Against this backdrop, the present study investigates how ostracism plays out when the heritages involved are similar, as exemplified by German employees in Austria. Study 1 examines the discursive production of Austrian stereotyping of Germans in the usage of different terms of reference for ‘Germans’ in Austrian discourse. A corpus analysis of online comments on newspaper sites highlights the implicit Austrian need for delineation against Germany. Study 2 analyzes Germans’ perception of Austrians’ exclusionary linguistic practices and how this impacts on their employment experience and turnover intention. A quantitative analysis of survey data from 600 German nationals employed in Austria reveals that the degree of exposure to these demarcating practices is associated with lower job satisfaction, a higher burnout level and an increase in turnover intention. This study is amongst the first to shed light on the central role of nationalism and national identities in organizational mechanisms of exclusion.

Exploring online comments from a strategic marketing stance to reduce wildlife crime

2020 ◽  
Vol 37 (12) ◽  
pp. 1771-1780
Author(s):  
Sheen Kachen ◽  
Anjala S. Krishen
Keyword(s):  
Strategic Marketing ◽  
Wildlife Crime ◽  
Online Comments

scholarly journals Analysis of User Needs on Downloading Behavior of English Vocabulary APPs Based on Data Mining for Online Comments

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1341
Author(s):  
Tinggui Chen ◽  
Lijuan Peng ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
User Needs ◽  
User Requirements ◽  
Functional Requirements ◽  
User Comments ◽  
Online Comments ◽  
Significant Negative Impact ◽  
Negative Effect ◽  
New Type

With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.

scholarly journals Lost in the stream? Professional efficacy perceptions of journalists in the context of dark participation

Journalism ◽  
2021 ◽  
pp. 146488492110169
Author(s):  
Florian Wintterlin ◽  
Klara Langmann ◽  
Svenja Boberg ◽  
Lena Frischlich ◽  
Tim Schatto-Eckrodt ◽  
...  
Keyword(s):  
Online Communication ◽  
Perceived Efficacy ◽  
Professional Efficacy ◽  
Interaction Rate ◽  
Perceived Credibility ◽  
Deliberative Discourse ◽  
Online Comments ◽  
Depth Interviews

Online comments and contributions from users are not always constructive nor rational. This also applies to content that is directed at journalists or published on journalistic platforms. So-called ‘dark participation’ in online communication is a challenge that journalists have to face because it lowers users’ perceived credibility of media brands and hinders a deliberative discourse in comment sections. This study examines how journalists perceive themselves in relation to dark participation, what measures they take against it, and how they assess the efficacy of these measures. Based on in-depth interviews ( N = 26), we find that journalists overall considered themselves to be effective in handling dark participation. The perceived efficacy differed according to the grade of engagement with users. Journalists who interacted very much or very little with users perceive the efficacy of their interventions to be highest, whilst those with medium levels of interaction rate their efficacy to be lower. Furthermore, the perceived amount of dark participation also affected the perceived efficacy.

scholarly journals Claiming Credibility in Online Comments: Popular Debate Surrounding the COVID-19 Vaccine

Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 34
Author(s):  
Ruth Breeze
Keyword(s):  
Expert Knowledge ◽  
The Internet ◽  
Special Importance ◽  
Access To Information ◽  
Mainstream Media ◽  
Internet Age ◽  
Online Comments ◽  
Sources Of Authority ◽  
Reader Comments ◽  
Public Demand

At times of crisis, access to information takes on special importance, and in the Internet age of constant connectedness, this is truer than ever. Over the course of the pandemic, the huge public demand for constantly updated health information has been met with a massive response from official and scientific sources, as well as from the mainstream media. However, it has also generated a vast stream of user-generated digital postings. Such phenomena are often regarded as unhelpful or even dangerous since they unwittingly spread misinformation or make it easier for potentially harmful disinformation to circulate. However, little is known about the dynamics of such forums or how scientific issues are represented there. To address this knowledge gap, this chapter uses a corpus-assisted discourse approach to examine how “expert” knowledge and other sources of authority are represented and contested in a corpus of 10,880 reader comments responding to Mail Online articles on the development of the COVID-19 vaccine in February–July 2020. The results show how “expert” knowledge is increasingly problematized and politicized, while other strategies are used to claim authority. The implications of these findings are discussed in the context of sociological theories, and some tentative solutions are proposed.

What does the crowd think? How online comments and popularity metrics affect news credibility and issue importance

2017 ◽  
Vol 20 (8) ◽  
pp. 3068-3083 ◽  
Author(s):  
T Franklin Waddell
Keyword(s):  
News Media ◽  
Indirect Pathway ◽  
Negative Number ◽  
Study Results ◽  
Online Comments ◽  
News Credibility ◽  
Reader Comments ◽  
Construct Accessibility ◽  
Main Model ◽  
Issue Importance

Online comments hold the potential to promote positive deliberative outcomes, although past work has also shown that comments can have undesired effects when the sentiment of the crowd turns negative. Does the presence of comments possibly bolster or interfere with the reception and traditional functions of news media? Informed by the Modality-Agency-Interactivity-Navigability (MAIN) model, an online experiment tested the effect of reader comments (positive vs negative), number of “re-tweets” and “likes” (low vs high), and coverage frequency (infrequent vs frequent) on news credibility and issue importance. Negative reader comments (relative to positive comments) decreased message credibility and issue importance through the sequential indirect pathway of bandwagon perceptions, attention, and construct accessibility. Study results suggest that the traditional functions of news media may be hindered by audience incivility.

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