Does negative campaign advertising stimulate uncivil communication on social media? Measuring audience response using big data

2017 ◽  
Vol 68 ◽  
pp. 368-377 ◽  
Author(s):  
Toby Hopp ◽  
Chris J. Vargo
Keyword(s):  
Social Media ◽  
Big Data ◽  
Audience Response ◽  
Campaign Advertising

DYNAMIC EXTRACTION AND ANALYTICS OF BIG DATA FROM CLOUD AND SOCIAL MEDIA INTEGRATED PLATFORMS

2020 ◽  
Vol 9 (6) ◽  
pp. 3703-3711
Author(s):  
N. Oberoi ◽  
S. Sachdeva ◽  
P. Garg ◽  
R. Walia
Keyword(s):  
Social Media ◽  
Big Data ◽  
Dynamic Extraction

Internal Medicine Physicians and Social Media: Knowledge, Skills, and Attitudes (Preprint)

2020 ◽  
Author(s):  
Mohaammed Nadir Bhuiyan ◽  
Jose R Medina-Inojosa ◽  
Ivana Croghan ◽  
Jasmine R Marcelin ◽  
Karthik Ghosh ◽  
...  
Keyword(s):  
Social Media ◽  
Medical Education ◽  
Healthcare Delivery ◽  
Medically Unexplained Symptoms ◽  
Audience Response ◽  
Cross Sectional ◽  
Physician Awareness ◽  
Medically Unexplained ◽  
Use Of Social Media ◽  
Continued Medical Education

UNSTRUCTURED This research study was designed to understand physician awareness and engagement with social media (sometimes referred to as #SoMe) within the digital landscape of healthcare delivery. An audience-response survey focused on social media “Social media in Healthcare: Physician Survey”, was administered during the “A Systematic Approach to Medically Unexplained Symptoms” continuing medical education conference. The Conference took place between August 22, 2019 and August 24, 2019. Data was collected on August 23, 2019. A range of 103 (59.5%) to 112 (64.7%) of the total 173 attendees participated in this cross-sectional audience-response survey, depending on the questions answered. Most responders were between the ages of 35 and 65 years (79.6%) and female (60.2%). A majority of responders were aware of social media terminology (88.7%), and many had used it personally (46.7%), but only 12% knew how to use social media to search medical topics, 18% used it to network professionally and most (68.9%) had a distrust of social media when it came to the protection of their privacy or their patients’ privacy. Overall, about 29.6% indicated an interest in future continued medical education focused on social media (and 27.4% were neutral). Awareness of social media’s role in healthcare has increased among physicians in practice, however their participation and knowledge of opportunities remains limited. Distance from academic institutions and concerns about privacy play the largest roles in the aversion towards professional use of social media.

Citizens, Elites, and Social Media Methodological Challenges and Opportunities in the Study of Persuasion and Mobilization

2019 ◽  
pp. 1036-1058
Author(s):  
Philip Habel ◽  
Yannis Theocharis
Keyword(s):  
Social Media ◽  
Big Data ◽  
Supply And Demand ◽  
Political Process ◽  
The Political ◽  
The Novel ◽  
Complete Understanding ◽  
Social Media Data ◽  
Challenges And Opportunities ◽  
Media Data

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”

scholarly journals Industrial revolution 4.0 on big data adoption factors on social media users and popularity brands

2021 ◽  
Vol 1839 (1) ◽  
pp. 012004
Author(s):  
W Sardjono ◽  
G Rama Putra ◽  
E Selviyanti ◽  
A Cholidin ◽  
G Salim
Keyword(s):  
Social Media ◽  
Big Data ◽  
Industrial Revolution ◽  
Adoption Factors

scholarly journals EXPRESS: “Get a £10 Free Bet Every Week!” – Gambling Advertising on Twitter: Volume, Content, Followers, Engagement and Regulatory Compliance

2021 ◽  
pp. 074391562199967
Author(s):  
Raffaello Rossi ◽  
Agnes Nairn ◽  
Josh Smith ◽  
Christopher Inskip
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Volume Content ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Regulatory Compliance ◽  
The Internet ◽  
Policy Recommendations ◽  
Policy Makers

The internet raises substantial challenges for policy makers in regulating gambling harm. The proliferation of gambling advertising on Twitter is one such challenge. However, the sheer scale renders it extremely hard to investigate using conventional techniques. In this paper the authors present three UK Twitter gambling advertising studies using both Big Data analytics and manual content analysis to explore the volume and content of gambling adverts, the age and engagement of followers, and compliance with UK advertising regulations. They analyse 890k organic adverts from 417 accounts along with data on 620k followers and 457k engagements (replies and retweets). They find that around 41,000 UK children follow Twitter gambling accounts, and that two-thirds of gambling advertising Tweets fail to fully comply with regulations. Adverts for eSports gambling are markedly different from those for traditional gambling (e.g. on soccer, casinos and lotteries) and appear to have strong appeal for children, with 28% of engagements with eSports gambling ads from under 16s. The authors make six policy recommendations: spotlight eSports gambling advertising; create new social-media-specific regulations; revise regulation on content appealing to children; use technology to block under-18s from seeing gambling ads; require ad-labelling of organic gambling Tweets; and deploy better enforcement.

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