A copycat crime meme: Ghost riding the whip

2019 ◽  
Vol 16 (2) ◽  
pp. 239-264
Author(s):  
Ray Surette
Keyword(s):  
Social Media ◽  
News Media ◽  
Media Communication ◽  
Minority Community ◽  
The Social ◽  
Traffic Violations ◽  
Crime Wave ◽  
Youtube Videos ◽  
Research Questions ◽  
Media Data

A 2006 US copycat crime wave came into being, surged with thousands of crimes committed, and dissipated without substantial news media attention. The development of this early copycat crime meme is traceable to the nature of the crime, “ghost riding the whip,” and the social media and popular music communication channels associated with it. Ghost riding the whip involved traffic violations where drivers exit their cars and dance atop or alongside the moving driverless vehicles. Social media allowed the widespread diffusion of detailed instructions that spread this crime from a single minority community to the middle class within a 3-month period. The study of this copycat crime meme examined four types of data: Google Trends, rap songs, ProQuest news media data, and YouTube videos. The examination of the crime wave suggests how Gabriel Tarde’s 19th-century ideas operate in the contemporary social media era. However, unlike pre-social media-based crime waves that were launched via interpersonal and legacy media communication pathways, for ghost riding, rap songs, YouTube postings, and Google searches spurred its growth. Legacy media were found to be most important during the crime wave’s decline, but not during its diffusion. For this copycat crime meme, social media’s influence flowed in a unique upward and outward pattern and the results raise the research questions as to how social media have changed the dynamics of crime waves and how important legacy media will be in future crime waves.

scholarly journals A Multi-platform Approach to Monitoring Negative Dominance for COVID-19 Vaccine-Related Information Online

2021 ◽  
pp. 1-24
Author(s):  
Paola Pascual-Ferrá ◽  
Neil Alperstein ◽  
Daniel J. Barnett
Keyword(s):  
Social Media ◽  
Adverse Events ◽  
News Media ◽  
Search Behavior ◽  
Social Media Data ◽  
Future Studies ◽  
Related Information ◽  
Youtube Videos ◽  
Negative Dominance ◽  
Media Data

Abstract Objective The aim of this study was to test the appearance of negative dominance in COVID-19 vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events related to the vaccine, that negative content would attract more engagement on social media than other vaccine-related posts, and posts referencing adverse events related to COVID-19 vaccination would have a higher average toxicity score. Methods We collected data using Google Trends for search behavior, CrowdTangle for social media data, and Media Cloud for media stories, and compared them against the dates of key adverse events related to COVID-19. We used Communalytic to analyze the toxicity of social media posts by platform and topic. Results While our first hypothesis was partially supported, with peaks in search behavior for image and YouTube videos driven by adverse events, we did not find negative dominance in other types of searches or patterns of attention by news media or on social media. Conclusion We did not find evidence in our data to prove the negative dominance of adverse events related to COVID-19 vaccination on social media. Future studies should corroborate these findings and, if consistent, focus on explaining why this may be the case.

scholarly journals Using Social Media in Tourist Sentiment Analysis: A Case Study of Andalusia during the Covid-19 Pandemic

2021 ◽  
Vol 13 (7) ◽  
pp. 3836
Author(s):  
David Flores-Ruiz ◽  
Adolfo Elizondo-Salto ◽  
María de la O. Barroso-González
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Cost Savings ◽  
Mass Scale ◽  
Tourism Sector ◽  
The Social ◽  
Analytical Tools ◽  
Media Data

This paper explores the role of social media in tourist sentiment analysis. To do this, it describes previous studies that have carried out tourist sentiment analysis using social media data, before analyzing changes in tourists’ sentiments and behaviors during the COVID-19 pandemic. In the case study, which focuses on Andalusia, the changes experienced by the tourism sector in the southern Spanish region as a result of the COVID-19 pandemic are assessed using the Andalusian Tourism Situation Survey (ECTA). This information is then compared with data obtained from a sentiment analysis based on the social network Twitter. On the basis of this comparative analysis, the paper concludes that it is possible to identify and classify tourists’ perceptions using sentiment analysis on a mass scale with the help of statistical software (RStudio and Knime). The sentiment analysis using Twitter data correlates with and is supplemented by information from the ECTA survey, with both analyses showing that tourists placed greater value on safety and preferred to travel individually to nearby, less crowded destinations since the pandemic began. Of the two analytical tools, sentiment analysis can be carried out on social media on a continuous basis and offers cost savings.

scholarly journals Using social media data to map the areas most affected by ISIS in Syria

2020 ◽  
Vol 26 (1) ◽  
pp. 464-470
Author(s):  
Mohamad Hasan
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Geographical Information ◽  
Data Mapping ◽  
Islamic State ◽  
Social Media Data ◽  
The Social ◽  
Mapping Process ◽  
Data Source ◽  
Media Data

This paper presents a model to collect, save, geocode, and analyze social media data. The model is used to collect and process the social media data concerned with the ISIS terrorist group (the Islamic State in Iraq and Syria), and to map the areas in Syria most affected by ISIS accordingly to the social media data. Mapping process is assumed automated compilation of a density map for the geocoded tweets. Data mined from social media (e.g., Twitter and Facebook) is recognized as dynamic and easily accessible resources that can be used as a data source in spatial analysis and geographical information system. Social media data can be represented as a topic data and geocoding data basing on the text of the mined from social media and processed using Natural Language Processing (NLP) methods. NLP is a subdomain of artificial intelligence concerned with the programming computers to analyze natural human language and texts. NLP allows identifying words used as an initial data by developed geocoding algorithm. In this study, identifying the needed words using NLP was done using two corpora. First corpus contained the names of populated places in Syria. The second corpus was composed in result of statistical analysis of the number of tweets and picking the words that have a location meaning (i.e., schools, temples, etc.). After identifying the words, the algorithm used Google Maps geocoding API in order to obtain the coordinates for posts.

scholarly journals KOMUNIKASI MEDIA ONLINE PENGUSAHA MILENIAL DALAM MEMBANGUN PERSONAL BRANDING DI ERA DIGITAL

2019 ◽  
Vol 4 (1) ◽  
pp. 114
Author(s):  
Dewi Rachmawati ◽  
Lestari Nurhajati
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Internet Technology ◽  
Online Media ◽  
Media Communication ◽  
Digital Era ◽  
Generation Cohorts ◽  
The Social ◽  
Personal Branding ◽  
Age Range

ABSTRACT Scientists who use cohort generation (generation cohorts) to classify subjects by age group, strongly believe in differences in attitudes, behaviors and communication in each generation. Millennials in the age range of 23-39 (born 1980-1995) tend to be depicted as relying heavily on communication based on internet technology. This situation certainly causes significant communication changes, including when these millennials become entrepreneurs, inevitably they will rely on communication via online media. In 2018, several rows of Indonesian millennials entered the ranks of successful Asian entrepreneurs under the age of 30. This phenomenon certainly becomes interesting to study about how the use of online media by young entrepreneurs as a means of their communication with the public. This study aims to find out how the personal branding of millennial entrepreneurs is built with communication via online media. The personal branding study that is often used as a guideline is the Eight Laws of Personal Branding concept, which is a personal branding strategy that emphasizes the side; specialization, leadership, personality, distinctiveness, visibility, unity, persistence, and goodwill. This study uses the content analysis (content analysis) approach to 5 online media (Instagram, Facebook, Twitter, Youtube, LinkedIn and Website / blog) owned by 5 millennial entrepreneurs (Dian Pelangi, Fransisca Hadiwidjana, Talita Setyadi, Rorian Pratyaksa, and Stanislaus Tandelilin) within 1 year (1 January 2018 - 31 December 2018). The results of this study indicate that the effort to build personal branding on each of the online media owned, is only attached to the figure of Dian Pelangi, who is very active in using all lines of social media. While the other 4 subjects actually did not all actively utilize the social media / online media they had..Keywords:  online media communication, millennials, personal branding, millennial entrepreneurs, digital era.  ABSTRAK Ilmuwan yang menggunakan cohort generation (generasi kohort) untuk menggolongkan subyek berdasarkan kelompok umur, sangat mempercayai adanya perbedaan sikap, perilaku dan komunikasi pada tiap generasi. Generasi milenial dalam rentang usia 23-39 (lahir 1980-1995) cenderung digambarkan sangat mengandalkan komunikasi berbasis penggunaan teknologi internet. Situasi ini tentu menyebabkan perubahan komunikasi yang signifikan, termasuk ketika para milenial ini menjadi pengusaha, mau tidak mau mereka akan mengandalkan komunikasi via media online. Tahun 2018 lalu beberapa deretan pengusaha milenial Indonesia masuk dalam jajaran pengusaha sukses Asia di bawah usia 30 tahun. Fenomena ini tentu menjadi menarik untuk diteliti tentang bagaimana penggunaan media online para pengusaha muda ini sebagai sarana komunikasi mereka dengan publik. Penelitian ini bertujuan untuk mengetahui bagaimana personal branding para pengusaha milenial dibangun dengan komunikasi via media online. Kajian personal branding yang sering dijadikan pedoman adalah konsep Eight Laws of Personal Branding, yakni strategi personal branding yang menekankan pada sisi; spesialisasi, kepemimpinan, kepribadian, kekhasan, terlihat, Kesamaan antara yang terlihat dan tak terlihat, kegigihan dan itikad baik. Penelitian ini menggunakan pendekatan penelitian content analysis (analisis isi) atas 5 media online (Instagram, Facebook, Twitter, Youtube, LinkedIn dan Website/blog) yang dimiliki oleh 5 pengusaha milenial (Dian Pelangi, Fransisca Hadiwidjana, Talita Setyadi, Rorian Pratyaksa, dan Stanislaus Tandelilin) dalam kurun waktu 1 tahun (1 januari 2018 - 31 Desember 2018). Hasil dari penelitian ini menunjukkan bahwa upaya membangun personal branding pada masing-masing media online yang dimiliki, hanya melekat pada sosok Dian Pelangi, yang sangat aktif menggunakan semua lini media sosialnya. Sementara ke 4 subyek lainnya justru tidak semuanya aktif memanfaatkan media sosial/ media online yang dimilikinya..Kata Kunci: komunikasi media online, milenial, personal branding, pengusaha milenial, era digital.

Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

Exploring the Concept of the “Social Media Campaign”

2014 ◽  
pp. 133-144 ◽  
Author(s):  
Mary Francoli
Keyword(s):  
Social Media ◽  
News Media ◽  
Electoral Politics ◽  
Critical Examination ◽  
Media Campaign ◽  
Theoretical Discussion ◽  
Limited Evidence ◽  
Federal Election ◽  
The Social ◽  
Methodological Difficulties

On May 2, 2011, Canadians voted in what the news media dubbed “Canada's First Social Media Election.” This allowed Canadians to join their neighbours to the south who, arguably, had gone through one national social media election during the 2008 bid for the presidency. Through a theoretical discussion of what constitutes sociality and networked sociality, and a critical examination of social media as a campaign tool, this chapter asks “What makes a campaign social?” It also asks if the term “social media campaign” adequately describes current campaign practices? In exploring these questions, the chapter draws on the 2011 federal election in Canada and the 2008 American election. Ultimately, the chapter argues we have limited evidence that social media has led to increased sociality when it comes to electoral politics. This calls the appropriateness of the term “social media campaign” into question. Such lack of evidence stems from the dynamism of networked sociality, which renders it difficult to understand, and methodological difficulties when it comes to capturing what it means to be “social.”

The Social Media Macroscope: A science gateway for research using social media data

2020 ◽  
Vol 111 ◽  
pp. 819-828 ◽  
Author(s):  
Joseph T. Yun ◽  
Nickolas Vance ◽  
Chen Wang ◽  
Luigi Marini ◽  
Joseph Troy ◽  
...  
Keyword(s):  
Social Media ◽  
Social Media Data ◽  
Science Gateway ◽  
The Social ◽  
Media Data

Interactivity Redefined for the Social Web

2010 ◽  
pp. 586-600
Author(s):  
V. Sachdev ◽  
S. Nerur ◽  
J. T.C. Teng
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Web Sites ◽  
Social Computing ◽  
Media Use ◽  
The Internet ◽  
User Interest ◽  
The Social ◽  
Research Questions ◽  
Shed Light

With the trend towards social interaction over the Internet and the mushrooming of Web sites such as MySpace, Facebook and YouTube in the social computing space, practitioners and researchers are motivated to explain the sudden surge in user interest. The authors propose that interactivity is an important and appropriate subject of investigation to shed light on this explosion in social media use. Based on a review of the extant literature, they justify the use of interactivity for addressing research questions motivated by this new phenomenon. In particular, they propose a redefinition of interactivity for the social computing domain and term it Social Computing Interactivity (SCI). The authors suggest possible operationalizations of the dimensions of SCI and explore theory bases which would inform a study of their relevance in predicting the continued growth of social computing.

scholarly journals More than a trivial pursuit: Public order policing narratives and the ‘social media test’

2020 ◽  
pp. 174165902091863
Author(s):  
Justin R Ellis
Keyword(s):  
Social Media ◽  
Digital Media ◽  
News Media ◽  
Public Discourse ◽  
Excessive Force ◽  
The Social ◽  
Police Accountability ◽  
Trivial Pursuit ◽  
Media Narratives ◽  
Depth Interviews

Social media has transformed public discourse on policing and the contest of control over the police image. This article draws on original, empirical research to conceptualise the phenomenon of the ‘social media test’ – the evolution of social media into a legitimate measure of police performance. Through in-depth interviews with police and non-police respondents the article maps the genealogy of, and provides perspective on, one of the first viral cases of bystander video of police excessive force in Australia filmed and uploaded to YouTube. The study shows the video’s impact on hegemonic mainstream and police news media narratives, processes of criminalisation and police accountability and the merit of narrative criminology in unpacking these phenomena. Police alluding to the ‘social media test’ in in-depth interviews shows that digital media in general and social media in particular can no longer be dismissed as peripheral or subsidiary to public discourse on policing in a digital society.

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