From Data Analytics to Data Hermeneutics. Online Political Discussions, Digital Methods and the Continuing Relevance of Interpretive Approaches

2016 ◽  
Vol 2 (2) ◽  
pp. 95-112 ◽  
Author(s):  
Paolo Gerbaudo
Keyword(s):  
Social Media ◽  
Data Analytics ◽  
Methodological Approach ◽  
Social Contexts ◽  
Protest Movements ◽  
Qualitative Approaches ◽  
Holistic Understanding ◽  
Data Points ◽  
Digital Politics ◽  
The One

Abstract To advance the study of digital politics it is urgent to complement data analytics with data hermeneutics to be understood as a methodological approach that focuses on the interpretation of the deep structures of meaning in social media conversations as they develop around various political phenomena, from digital protest movements to online election campaigns. The diffusion of Big Data techniques in recent scholarship on political behavior has led to a quantitative bias in the understanding of online political phenomena and a disregard for issues of content and meaning. To solve this problem it is necessary to adapt the hermeneutic approach to the conditions of social media communication, and shift its object of analysis from texts to datasets. On the one hand, this involves identifying procedures to select samples of social media posts out of datasets, so that they can be analysed in more depth. I describe three sampling strategies - top sampling, random sampling and zoom-in sampling - to attain this goal. On the other hand, “close reading” procedures used in hermeneutic analysis need to be adapted to the different quality of digital objects vis-à-vis traditional texts. This can be achieved by analysing posts not only as data-points in a dataset, but also as interventions in a collective conversation, and as utterances of broader “discourses”. The task of interpretation of social media data also requires an understanding of the political and social contexts in which digital political phenomena unfold, as well as taking into account the subjective viewpoints and motivations of those involved, which can be gained through in-depth interviews, and other qualitative social science methods. Data hermeneutics thus holds promise for a closing of the gap between quantitative and qualitative approaches in the study of digital politics, allowing for a deeper and more holistic understanding of online political phenomena.

AN EXPLORATION OF GENDER DIFFERENCES IN TEENAGERS’ USE, CONSUMPTION AND DIGITAL PRODUCTION

2020 ◽  
Author(s):  
Corina-Maricica Seserman ◽  
Daniela Cojocaru
Keyword(s):  
Gender Differences ◽  
Social Media ◽  
Data Collection ◽  
Gender Identity ◽  
Online Survey ◽  
Peer Group ◽  
Methodological Approach ◽  
Digital Content ◽  
Media Consumption ◽  
The Way

Today’s teenagers have a very close relationship with ICTs and the digital space related to them, as they have impacted the way the youth constructs their sense of self and the tools they use to perform their carefully constructed identity. One key element which influences the way one constructs their views by themselves is within the boundaries set by their biological sex and therefore through the behaviors associated with their asigned gender. Through the symbolic interactionist lense, or more specifically through Goffman's dramaturgical theory on the manner in which one presents him/herself in society, this paper looks at the manner in which teenagers use social media platforms and at the way they consume and create digital content in order to present their gender identity. The way teenagers consume and produce digital content differs and depends on how they interpret their ideals of femininity and masculinity, which are afterwards reproduced in the content they post on their social media pages. Therefore this research is an attempt to understand what are the factors teenagers take in account when consuming and producing content. What gender differences can be observed in regards to new media consumption? What difference can be observed in online activity behaviors between males and females? How do they feel about their gender identity concerning fitting in with their peer group? A mix-methodological approach was engaged in the data collection process. In the first stage of the research highschool students (n=324) from the city of Suceava (Romania) participated in taking an online survey. The initial intent was to meet with the young respondents in person, but due to the COVID-19 pandemic this was deemed impossible. For the second stage of data collection, six of the participants who took the online survey were invited to participate in a focus group designed to grasp a better understanding of the results from the previous stage. The discovered findings uncover engaging gender similarities and differences in social media consumption and the type, subject, matter and style in which they posted their content, but also in regards to the performance of the self between the online and offline space.

Utilizing Twitter Data Analysis and Deep Learning to Identify Drug Use (Preprint)

2019 ◽  
Author(s):  
Joseph Tassone ◽  
Peizhi Yan ◽  
Mackenzie Simpson ◽  
Chetan Mendhe ◽  
Vijay Mago ◽  
...  
Keyword(s):  
Social Media ◽  
Logistic Regression ◽  
Deep Learning ◽  
Decision Tree ◽  
Semantic Meaning ◽  
Predictive Capability ◽  
Logistic Regression Models ◽  
Twitter Data ◽  
Data Points ◽  
Positive Classification

BACKGROUND The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. OBJECTIVE Through the analysis of a collected set of Twitter data, a model will be developed for predicting positively referenced, drug-related tweets. From this, trends and correlations can be determined. METHODS Twitter social media tweets and attribute data were collected and processed using topic pertaining keywords, such as drug slang and use-conditions (methods of drug consumption). Potential candidates were preprocessed resulting in a dataset 3,696,150 rows. The predictive classification power of multiple methods was compared including regression, decision trees, and CNN-based classifiers. For the latter, a deep learning approach was implemented to screen and analyze the semantic meaning of the tweets. RESULTS The logistic regression and decision tree models utilized 12,142 data points for training and 1041 data points for testing. The results calculated from the logistic regression models respectively displayed an accuracy of 54.56% and 57.44%, and an AUC of 0.58. While an improvement, the decision tree concluded with an accuracy of 63.40% and an AUC of 0.68. All these values implied a low predictive capability with little to no discrimination. Conversely, the CNN-based classifiers presented a heavy improvement, between the two models tested. The first was trained with 2,661 manually labeled samples, while the other included synthetically generated tweets culminating in 12,142 samples. The accuracy scores were 76.35% and 82.31%, with an AUC of 0.90 and 0.91. Using association rule mining in conjunction with the CNN-based classifier showed a high likelihood for keywords such as “smoke”, “cocaine”, and “marijuana” triggering a drug-positive classification. CONCLUSIONS Predictive analysis without a CNN is limited and possibly fruitless. Attribute-based models presented little predictive capability and were not suitable for analyzing this type of data. The semantic meaning of the tweets needed to be utilized, giving the CNN-based classifier an advantage over other solutions. Additionally, commonly mentioned drugs had a level of correspondence with frequently used illicit substances, proving the practical usefulness of this system. Lastly, the synthetically generated set provided increased scores, improving the predictive capability. CLINICALTRIAL None

THE THE INDIGENOUS IDENTITY INTERPRETED AS A CATEGORY OF ANALYSIS IN POPULATION STUDIES

2017 ◽  
Vol 6 (Especial) ◽  
pp. 105
Author(s):  
Dante Choque-Caseres
Keyword(s):  
Indigenous Peoples ◽  
Methodological Approach ◽  
Indigenous Communities ◽  
Social Contexts ◽  
Indigenous Identity ◽  
Critical Thought ◽  
Northern Border ◽  
The Social ◽  
The Government ◽  
New Research

In Latin America, based on the recognition of Indigenous Peoples, the identification of gaps or disparities between the Indigenous and non-Indigenous population has emerged as a new research interest. To this end, capturing Indigenous identity is key to conducting certain analyses. However, the social contexts where the identity of Indigenous persons are (re)produced has been significantly altered. These changes are generated by the assimilation or integration of Indigenous communities into dominant national cultures. Within this context, limitations emerge in the use of this category, since Indigenous identity has a political and legal component related to the needs of the government. Therefore, critical thought on the use of Indigenous identity is necessary in an epistemological and methodological approach to research. This article argues that research about Indigenous Peoples should evaluate how Indigenous identity is included, for it is socially co-produced through the interaction of the State and its institutions. Thus, it would not necessarily constitute an explicative variable. By analyzing the discourse about Aymara Indigenous communities that has emerged in the northern border of Chile, this paper seeks to expose the logic used to define identity. Therefore, I conclude that the process of self-identification arises in supposed Indigenous people, built and/or reinforced by institutions, which should be reviewed from a decolonizing perspective and included in comparative research.

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.

scholarly journals Commercial Limits to Personality: Instagram Influencers and Commoditized Content Receptivity

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 77
Author(s):  
Tyler Horan
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Identity ◽  
The Other ◽  
Audience Reception ◽  
Media Audiences ◽  
Unique Identity ◽  
The One ◽  
Commercial Relationships ◽  
Network Power

Social media influencers-individuals who utilize various forms of network power on social networks occupy a unique identity space. On the one hand, their network power is often tied to their social identity as creators of engaging material. On the other hand, their ability to promote commercial products and services steps outside the traditionally distinct commercial–social, occupational–personal divides. In this work, the network morphologies of influencers are explored in relation to their delivery of sponsored and non-sponsored content. This article explores how the disclosure of content as ‘sponsored’ affects audience reception. We show how that the promotion of content on social media often generates higher levels of engagement and receptiveness amongst their audience despite the platform’s assumption of organic non-commercial relationships. We find that engagement levels are highest among smaller out-degree networks. Additionally, we demonstrate that sponsored content not only returns a higher level of engagement, but that the effect of sponsorship is relatively consistent across out-degree network sizes. In sum, we suggest that social media audiences are not sensitive to commercial sponsorship when tied to identity, as long as that performance is convincing and consistent.

Sports Journalism: Self-Censorship, Ethics and Lived Experience in the Digital Era.

2020 ◽  
Author(s):  
◽  
Tom Bradshaw
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Ethical Issues ◽  
Theoretical Perspective ◽  
Professional Experience ◽  
Homogeneous Sample ◽  
Sports Journalism ◽  
Digital Era ◽  
Qualitative Approaches

This thesis examines the major ethical issues experienced by UK sports journalists in the course of their practice in the modern digital media landscape, with a particular focus on selfcensorship. In tandem, it captures the lived professional experience of sports journalists in the digital era. My own professional experience is considered alongside the experiences of interviewees and diary-keepers. Initially, an exploratory case study of the work of investigative journalist David Walsh is used to highlight key ethical issues affecting sports journalism. A Kantian deontological theoretical perspective is articulated and developed. Qualitative approaches, specifically Interpretative Phenomenological Analysis and autoethnography, are then used to provide an original analysis of the research objectives, enhanced by philosophical analysis. Ten in-depth, semi-structured interviews are conducted with a homogeneous sample of UK sports journalists, while diaries kept by three different journalists provide another seam of data. Reflective logs of my own work as a sports journalist provide the basis for autoethnographic data. The main log runs for two-and-half years (2016- 19) with a separate additional log covering the 2019 Rugby World Cup in Japan. The semistructured interviews, diaries, autoethnography and case study are synthesized. The thesis explores how social media has introduced a host of ethical issues for sports journalists, not least the handling of abuse directed at them. Social media emerges as a double-edged sword. One of its most positive functions is to raise the standard of some journalists’ output due to the greater scrutiny that reporters feel they are under in the digital era, but at its worst it can be a platform for grotesque distortion and for corrupting sports journalists’ decision-making processes. Self-censorship of both facts and opinions emerges as a pervasive factor in sports journalism, a phenomenon that has been intensified by the advent of social media. Sports journalists show low engagement with codes of conduct, with the research suggesting that participants are on occasion more readily influenced by self-policing dynamics. This project captures vividly sports journalists’ personal involvement and emotional investment in their work, and reconsiders the ‘toy department’-versus-watchdog classification of sports journalists. The thesis concludes with recommendations for industry, including the introduction of formal support for sports journalists affected by online abuse.

scholarly journals The Public Domain: Surveillance in Everyday Life

2012 ◽  
Vol 9 (4) ◽  
pp. 378-393 ◽  
Author(s):  
Alice Marwick
Keyword(s):  
Social Media ◽  
Personal Information ◽  
Social Contexts ◽  
Social Boundaries ◽  
Power Relationships ◽  
The Public ◽  
Ethnographic Studies ◽  
Power Differentials ◽  
And Behavior ◽  
Traditional Surveillance

People create profiles on social network sites and Twitter accounts against the background of an audience. This paper argues that closely examining content created by others and looking at one’s own content through other people’s eyes, a common part of social media use, should be framed as social surveillance. While social surveillance is distinguished from traditional surveillance along three axes (power, hierarchy, and reciprocity), its effects and behavior modification is common to traditional surveillance. Drawing on ethnographic studies of United States populations, I look at social surveillance, how it is practiced, and its impact on people who engage in it. I use Foucault’s concept of capillaries of power to demonstrate that social surveillance assumes the power differentials evident in everyday interactions rather than the hierarchical power relationships assumed in much of the surveillance literature. Social media involves a collapse of social contexts and social roles, complicating boundary work but facilitating social surveillance. Individuals strategically reveal, disclose and conceal personal information to create connections with others and tend social boundaries. These processes are normal parts of day-to-day life in communities that are highly connected through social media.

Theoretical and conceptual issues in the extending working lives agenda

2017 ◽  
Author(s):  
Clary Krekula ◽  
Sarah Vickerstaff
Keyword(s):  
Older Workers ◽  
Working Life ◽  
Social Contexts ◽  
Life Course Perspective ◽  
Policy Debate ◽  
Working Lives ◽  
Job Opportunities ◽  
The One ◽  
New Research ◽  
Individual Choices

The policy debate on older people's extended participation in working life is not based on a social movement, such as the one putting forward demands on job opportunities for women, and has, by means of categorical stereotypes, mostly characterised older people as the problem. This narrative of individual choices and decisions presents older workers as de-gendered, de-classed individuals, shorn of their individual biographies and social contexts. It also treats the issue of extending working life as a phenomenon disconnected from surrounding society and trends. This line of reasoning points to the need for more sophisticated theoretical foundations. This chapter therefore provides a more encompassing framework for the discussion of extending working lives and outlines a new research agenda, including a power perspective with potential to shed light on age-based inequality, an intersectional perspective and a masculinity perspective which challenges the homogenous descriptions of older workers, a feminist understanding of work and a life course perspective which provides a framework which links the previous three.

Man, Institutions and Bioeconomics

2003 ◽  
Vol 14 (4) ◽  
pp. 339-355
Author(s):  
Javier Alfonso Gil
Keyword(s):  
Methodological Approach ◽  
Natural Habitat ◽  
Social Technology ◽  
Activity System ◽  
Material Technology ◽  
Political Market ◽  
System A ◽  
Biological Capacity ◽  
Growth Of Knowledge ◽  
The One

Because bioeconomics is born of the interaction between the biological activity system and its socio-economic activity system, a holistic methodological approach is essential to study the relations between them. However, it must search for increasing levels of reductionism within each discipline to delve into the ultimate nature of each one of the intervening forces, whether economic or biological. This paper explores the economic forces. Through the biological capacity to comprehend, man and by extension, society, accumulates knowledge, the fulcrum from which he is able to dominate over his natural habitat. From this ‘point d’appui’, man builds two basic tools to assist him in achieving the goal of bettering his social condition. On the one hand, he creates institutions that allow him to “live with others” and, on the other, he develops technology that helps him to “live better with others”. Institutions, also referred to as ‘social technology’, tend toward stability over time while technology or ‘material technology’, tends toward instability, which would suggest that, normally, the mechanics of change will originate in material technology and, from there, progress to social technology by way of the political market. The level of progress and development attained depends on the quantity and rate of growth of knowledge applied by a society. In the process, man and his collectivity are forced to adopt new views of their environment through new shared mental models. The concurrence of equipment and political market will ultimately become the prime mover of institutional and economic change as well as change in mentality. Both technologies must keep on an adaptive course of stable evolution since discrepancies arising between them can cause tension between the various social groups. Adequate management of technological shock is essential to avoid extreme situations of social conflict. Herein lie the most important political decisions that a government must confront over the long term.

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