Expanding the nationalist echo-chamber into the mainstream: Swedish anti-immigration activity on Twitter, 2010-2013

First Monday ◽  
2016 ◽  
Author(s):  
Piotr Urniaz

Blogs, social media, and search engines have democratized information seekers and providers. However, the same affordances of the Internet have also contributed to resurgence and transformation of far-right and racist communities. Despite a growing number of studies of far-right communities, little attention has so far been paid to the mechanisms through which far-right and racist ideologies are presented to the wider public. This paper contributes to this field of research with a longitudinal study of Swedish anti-immigration activity on Twitter between 2010 and 2013. Results are placed in a larger context provided by additional data from blogs and related studies.

2019 ◽  
pp. 228-247 ◽  
Author(s):  
William H. Dutton ◽  
Bianca C. Reisdorf ◽  
Grant Blank ◽  
Elizabeth Dubois ◽  
Laleah Fernandez

Concern over filter bubbles, echo chambers, and misinformation on the Internet are not new. However, as noted by Howard and Bradshaw (Chapter 12), events around the 2016 US presidential election and the UK’s Brexit referendum brought these concerns up again to near-panic levels, raising questions about the political implications of the algorithms that drive search engines and social media. To address these issues, the authors conducted an extensive survey of Internet users in Britain, France, Germany, Italy, Poland, Spain, and the US, asking respondents how they use search, social media, and other media for getting information about politics, and what difference these media have made for them. Their findings demonstrate that search is one among many media gateways and outlets deployed by those interested in politics, and that Internet users with an interest in politics and search skills are unlikely to be trapped in a filter bubble, or cocooned in a political echo chamber.


2015 ◽  
Vol 10 (9) ◽  
pp. 2532-2535
Author(s):  
ANDREAS KARAOULANIS

Digital products are the dominant force of tomorrow. Under this reality, companies need to take under consideration many new paragons in order to determine their pricing policy, which is quite different than the traditional one when we come to digital products. Several factors that determine digital pricing are discussed in this paper, although the subject needs a deeper approach. Social media and search engines are MSPs which are crucial in terms of pricing determination for digital goods, as they are the prevalent way these products are advertised via the internet.


2019 ◽  
Vol 2019 ◽  
Author(s):  
Indra Ayu Susan Mckie ◽  
Bhuva Narayan

Conversational bots, otherwise known as chatbots, operate within the fourth industrial revolution as a client facing form of AI. They are communicative interfaces that mimic human conversation to deliver information in a highly personalised way. The user experience of chatbots can change the way individuals, groups and organisations define themselves online (Whitley, Gal & Kjaergaard, 2014). This paper discusses the opportunities in building an online identity via chatbots, with emphasis on harnessing the properties of chatbots to develop trust with users. Currently, organisations are limited to the properties and affordances of web browsers, search engines and social media to communicate a “shared symbolic representation” (Gioia, 1998). This paper focuses on organisational identities on the Internet, and details both opportunities and vulnerabilities in establishing trust with users through chatbots.


2014 ◽  
pp. 149-154
Author(s):  
Elliott Payne

The explosion of social networking sites in recent years has given many Kim Kardashian wannabes an opportunity to display and glamorise their supposed activities and achievements. However, it has also unwittingly given employers an opportunity to pry into the personal (and at times very personal) affairs of their prospective employees through the practice of cyber-vetting. Social media users should take note. They should think very carefully before they post, tweet or upload a photograph as their future employer may be watching and to paraphrase US Chief Judge Alex Kozinski, removing something from the Internet is about as easy as removing urine from a swimming pool! Dr Brenda Berkelaar of Purdue University, who completed a PhD on cyber-vetting, described the practice as: “when organizations use information from search engines or social networking communities to evaluate job candidates.” In its simplest form, cyber-vetting is the examination by employers of the digital footprint ...


2016 ◽  
Vol 34 (4) ◽  
pp. 17-33
Author(s):  
Helga Druxes

Pegida plays upon the intersectionality of popular discontent in its outrage against cosmopolitan political elites, by using the internet and social media as platforms for a repudiation of traditional parliamentary mechanisms. We may regard this conceit of a virtual polis as a form of antipolitics, expressing impatience with, and contempt for institutional democracy. Far right bloggers exhort followers to violent action across a transnational field of operations as a form of “legitimate” warfare against states they believe to be corrupt. They stage their own identity as a fluid performance of rebellious discontent with government and globalization. Although they invoke an autonomous subjectivity and direct political mandate, they in fact opt for a theatrical simulation of such engagement. The internet and social media allow for the creation of multiple niche markets for reactionary discontent across the lines of age and class. Pegida supporters present a paradox in that they are anti-modern identitarians pining for a mythic Central Europe, regressively protectionist towards the German economy in their demands to close the borders to international trade, exit the Eurozone, and expel refugees, even as they orchestrate a sophisticated event-based, highly modern post-democratic “New Politics 2.0.”


2016 ◽  
Vol 7 (4) ◽  
pp. 88-93 ◽  
Author(s):  
Ahmed M. Lutfi

Aims and Objectives: Performance- and Image-Enhancing Drugs (PIEDs) refer to all known forms of substances, that can enhance either the morphology or the physiological performance or both simultaneously. The exponential rise of electronic commerce (e-commerce) for PIEDs is a major public issue, for which control protocols are to be deployed.Materials and Methods: It would be a waste of time and resources to track and/or shut down all PIED-promoting websites one by one. Cyberspace is vast; the PIED “product managers” will always adapt to surveillance-control policies over their illegitimate online businesses. A more rational approach would be to track, challenge, and tackle the same resources upon which PIED electronic commerce is based: the infrastructure of the World Wide Web (the Internet).Results: Concerning PIED e-commerce, the main resources are Google and AOL (search engines); YouTube, Wikipedia, and Facebook (social media sites); and Alibaba, Amazon, and eBay (major e-commerce websites).Conclusion: Illegal PIED e-commerce became a major public problem. The major drivers are the Internet search engines, social media sites, and major e-commerce websites. Effective protocols toward these resources would hinder any future progress of this illegitimate worldwide phenomenon.Asian Journal of Medical Sciences Vol.7(4) 2016 88-93


2018 ◽  
Author(s):  
Kassaye Yitbarek Yigzaw ◽  
Rolf Wynn ◽  
Luis Marco-Ruiz ◽  
Andrius Budrionis ◽  
Sunday Oluwafemi Oyeyemi ◽  
...  

BACKGROUND The internet is being widely used for seeking health information. However, there is no consensus on the association between health information seeking on the internet and the use of health care services. OBJECTIVE We examined the association between health information seeking via the internet and physician visits. In addition, we investigated the association between online health information seeking and the decisions to visit and not to visit a physician. METHODS We used the cross-sectional electronic health (eHealth) data of 18,197 participants from the seventh survey of the Tromsø Study (Tromsø 7). The participants were aged ≥40 years and living in Tromsø, Norway. We used logistic regression models to examine the association between online health information seeking and physician visits, the decision to visit a physician, and the decision not to visit a physician, with adjustment for the demographic status, socioeconomic status, and health status of the participants. RESULTS The use of Web search engines was associated with a physician visit. However, the association was moderated by age, and the OR decreased as age increased. The ORs for the use of Web search engines were 1.99 (95% CI 1.94-2.02) and 1.07 (95% CI 1.03-1.12) at ages 40 and 80 years, respectively. The decision to visit a physician was associated with the use of Web search engines (OR 2.95, 95% CI 2.03-4.46), video search engines (OR 1.43, 95% CI 1.21-1.70), and health apps (OR 1.26, 95% CI 1.13-1.42). The association between social media use and the decision to visit a physician was moderated by gender. Women who used social media had 1.42 (95% CI 1.31-1.55) times higher odds of deciding to visit a physician, whereas the decision to visit a physician was not different between men who used social media and those who did not use social media. Conversely, the decision not to visit a physician was associated with the use of Web search engines (OR 2.78, 95% CI 1.92-4.18), video search engines (OR 1.27, 95% CI 1.07-1.51), social media (OR 1.28, 95% CI 1.10-1.49), and health apps (OR 1.20, 95% CI 1.07-1.35). CONCLUSIONS Health information found on the internet was positively associated with both the decision to visit a physician and the decision not to visit a physician. However, the association of health information seeking with the decision to visit a physician was slightly stronger than the association with the decision not to visit a physician. This could imply that the use of eHealth services is associated with a resultant increase in physician visits. In summary, our findings suggest that the internet serves as a supplement to health care services rather than as a replacement.


2021 ◽  
Author(s):  
John D Gallacher ◽  
Marc Heerdink

Social media has become a common arena for both far-right and Islamic extremist groups to stoke division through the spreading of propaganda and hate speech. This online hate is suggested to drive extremism online, and in some cases lead to offline hate crimes and violence. Whether this online radicalisation happens in isolation within a group, or whether there is an interdependent relationship of mutual radicalisation, is unclear. A possible process by which mutual radicalisation could occur would be if social media incite users to commit offline violence, and if this offline violence in return triggers online reactions from both the target and perpetrator groups. This however has not been tested. This study addresses these questions by investigating the nature of the online-offline relationship of extremist hate. We combine data from the social media platform Gab, variations in Internet search trends, and offline hate crimes in three countries, and test for temporal relationships between opposing extremist groups. Our findings show that online hate from far-right groups both precedes offline violence from these same groups, and spikes following offline violence from opposing Islamic extremist groups. Additionally, far-right Islamophobic violence offline is also followed by increased online interest in Islamic extremist topics. Together, these findings show that the Internet, and specifically hate speech, plays a potential key role in a cyclical process that increases mutual radicalisation.


2020 ◽  
Vol 4 (2) ◽  
pp. 165
Author(s):  
Anita Sindar RM Sinaga

<em>Activity on the internet leaves a traceable digital trail. Users who are expressive of social media and have a habit of pouring everything on Instagram are more considerate of the cause and effect of status updates. The problem discussed in this study is to describe the character of the Instagram user account according to the hashtags (#) of the most widely used millennial language such as #awesome and so on. With machine learning, computers can work alone. This digital technology has long been applied to Google search, search engines and social media (Facebook, Twitter, Instagram). The benefits of machine learning are the ease of obtaining digital data from online users. The stages of the study consisted of the application of algorithms that produced predictions for classification using the K-Nearest Neighbors Algorithm. The formulation of the problem in this research is how to process data sourced from millennial language hashtags based on the most popular hashtags (#) on instagram using machine learning by identifying names in the text into Connected, Creative and Confident. From the results of the calculation of the closest distance and proximity of the neighboring obtained 10 popular hashtags. Creative Classifications become dominan type user.</em>


Sign in / Sign up

Export Citation Format

Share Document