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Uncovering cyberincivility among nurses and nursing students on Twitter: A data mining study
کشف فضای مجازی در بین پرستاران و دانشجویان پرستاری در توییتر: مطالعه داده کاوی-2019 Background: Although misuse of social networking sites, particularly Twitter, has occurred, little is known about
the prevalence, content, and characteristics of uncivil tweets posted by nurses and nursing students.
Objective: The aim of this study was to describe the characteristics of tweets posted by nurses and nursing
students on Twitter with a focus on cyberincivility.
Method: A cross-sectional, data-mining study was held from February through April 2017. Using a data-mining
tool, we extracted quantitative and qualitative data from a sample of 163 self-identified nurses and nursing
students on Twitter. The analysis of 8934 tweets was performed by a combination of SAS 9.4 for descriptive and
inferential statistics including logistic regression and NVivo 11 to derive descriptive patterns of unstructured
textual data.
Findings: We categorized 413 tweets (4.62%, n=8934) as uncivil. Of these, 240 (58%) were related to nursing
and the other 173 (42%) to personal life. Of the 163 unique users, 60 (36.8%) generated those 413 uncivil posts,
tweeting inappropriately at least once over a period of six weeks. Most uncivil tweets contained profanity
(n=135, 32.7%), sexually explicit or suggestive material (n=37, 9.0%), name-calling (n=14, 3.4%), and
discriminatory remarks against minorities (n=9, 2.2%). Other uncivil content included product promotion,
demeaning comments toward patients, aggression toward health professionals, and HIPAA violations.
Conclusion: Nurses and nursing students share uncivil tweets that could tarnish the image of the profession and
violate codes of ethics. Individual, interpersonal, and institutional efforts should be made to foster a culture of
cybercivility. Keywords: Civility | Cyberincivility | Education | Incivility | Nurses | Nursing | Nursing students | Social media | Social networking sites | Twitter |
مقاله انگلیسی |
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Does negative campaign advertising stimulate uncivil communication on social media? Measuring audience response using big data
آیا تبلیغات کمپین منفی ارتباطات غیرواقعی در رسانه های اجتماعی را تحریک می کند؟ اندازه گیری پاسخ مخاطب با استفاده از داده های بزرگ-2017 Using the 2012 presidential election as a case study, this work set out to understand the relationship
between negative political advertising and political incivility on Twitter. Drawing on the stimulation
hypothesis and the notion that communication with dissimilar others can encourage incivility, it was
predicted that (1) heightened levels of negative campaign advertising would be associated with
increased citizen activity on Twitter, (2) increased citizen activity would predict online incivility, and (3)
that increases in citizen activity would facilitate a positive indirect relationship between negative
advertising volume and citizen incivility. This theoretical model was tested using data collected from
over 140,000 individual Twitter users located in 206 Designated Market Areas. The results supported the
proposed model. Additional analyses further suggested that the relationship between negative political
advertising and citizen incivility was conditioned by contextual levels of economic status. These results
are discussed in the context of political advertising and democratic deliberation.
Keywords:Incivility | Big data | Political participation | Political advertising |
مقاله انگلیسی |
3 |
Does negative campaign advertising stimulate uncivil communication on social media? Measuring audience response using big data
آیا تبلیغات مبارزه منفی ارتباط بی ادبانه در رسانه های اجتماعی را تحریک می کند؟ اندازه گیری پاسخ مخاطبان با استفاده از داده های بزرگ-2017 Using the 2012 presidential election as a case study, this work set out to understand the relationship
between negative political advertising and political incivility on Twitter. Drawing on the stimulation
hypothesis and the notion that communication with dissimilar others can encourage incivility, it was
predicted that (1) heightened levels of negative campaign advertising would be associated with
increased citizen activity on Twitter, (2) increased citizen activity would predict online incivility, and (3)
that increases in citizen activity would facilitate a positive indirect relationship between negative
advertising volume and citizen incivility. This theoretical model was tested using data collected from
over 140,000 individual Twitter users located in 206 Designated Market Areas. The results supported the
proposed model. Additional analyses further suggested that the relationship between negative political
advertising and citizen incivility was conditioned by contextual levels of economic status. These results
are discussed in the context of political advertising and democratic deliberation.
Keywords:Incivility|Big data|Political participation|Political advertising |
مقاله انگلیسی |