scholarly journals A Data-Driven Framework for Coding the Intent and Extent of Political Tweeting, Disinformation, and Extremism

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
Mahdi Hashemi
Keyword(s):  
Social Networks ◽  
Presidential Election ◽  
Online Social Networks ◽  
Data Driven ◽  
The Political ◽  
Political Affiliation ◽  
News Sources ◽  
The U.S

Disinformation campaigns on online social networks (OSNs) in recent years have underscored democracy’s vulnerability to such operations and the importance of identifying such operations and dissecting their methods, intents, and source. This paper is another milestone in a line of research on political disinformation, propaganda, and extremism on OSNs. A total of 40,000 original Tweets (not re-Tweets or Replies) related to the U.S. 2020 presidential election are collected. The intent, focus, and political affiliation of these political Tweets are determined through multiple discussions and revisions. There are three political affiliations: rightist, leftist, and neutral. A total of 171 different classes of intent or focus are defined for Tweets. A total of 25% of Tweets were left out while defining these classes of intent. The purpose is to assure that the defined classes would be able to cover the intent and focus of unseen Tweets (Tweets that were not used to determine and define these classes) and no new classes would be required. This paper provides these classes, their definition and size, and example Tweets from them. If any information is included in a Tweet, its factuality is verified through valid news sources and articles. If any opinion is included in a Tweet, it is determined that whether or not it is extreme, through multiple discussions and revisions. This paper provides analytics with regard to the political affiliation and intent of Tweets. The results show that disinformation and extreme opinions are more common among rightists Tweets than leftist Tweets. Additionally, Coronavirus pandemic is the topic of almost half of the Tweets, where 25.43% of Tweets express their unhappiness with how Republicans have handled this pandemic.

Hypercitizens from a Distinct Society

2011 ◽  
Vol 1 (2) ◽  
pp. 29-45 ◽  
Author(s):  
Thierry Giasson ◽  
Vincent Raynauld ◽  
Cyntia Darisse
Keyword(s):  
Social Networks ◽  
Detailed Analysis ◽  
Online Social Networks ◽  
Online Survey ◽  
The Political ◽  
Political Involvement ◽  
Political Blogs ◽  
Political Activities ◽  
Emergent Community ◽  
The U.S

While many, mostly American, scholars have recently conducted quantitative and qualitative investigations of the structure and content of political blogs, few have focused on the political involvement of their authors. Based on data collected through an online survey conducted in April 2008, this paper proposes the first detailed account of the sociopolitical profile of 56 members of the Quebec political blogosphere. The description of these bloggers’ involvement in content dispersion and online social networks as well as their participation in offline political activities helps to better understand the particularities of an emergent community of active citizens. Additionally, the research draws contrasts with previous studies of the U.S. political blogosphere and argues for the production of more detailed analysis considering the specificities of different communities of North American political bloggers.

Fake It “Till You Make It”: Debunking Fake News in a Post-Truth America

2019 ◽  
Vol 8 (1) ◽  
pp. 114-133
Keyword(s):  
Social Media ◽  
First Amendment ◽  
Presidential Election ◽  
Political Discourse ◽  
Cutting Edge ◽  
American People ◽  
Fake News ◽  
News Sources ◽  
The Media ◽  
The U.S

Since the 2016 U.S. presidential election, attacks on the media have been relentless. “Fake news” has become a household term, and repeated attempts to break the trust between reporters and the American people have threatened the validity of the First Amendment to the U.S. Constitution. In this article, the authors trace the development of fake news and its impact on contemporary political discourse. They also outline cutting-edge pedagogies designed to assist students in critically evaluating the veracity of various news sources and social media sites.

scholarly journals An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

2021 ◽  
Vol 5 (1) ◽  
pp. 5
Author(s):  
Ninghan Chen ◽  
Zhiqiang Zhong ◽  
Jun Pang
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Online Social Networks ◽  
Exploratory Study ◽  
Representation Learning ◽  
Data Driven ◽  
Learning Methods ◽  
Twitter Users ◽  
Over Time

The outbreak of the COVID-19 led to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information. Thus, discussions on OSNs may become a reflection of reality. This paper aims to figure out how Twitter users in the Greater Region (GR) and related countries react differently over time through conducting a data-driven exploratory study of COVID-19 information using machine learning and representation learning methods. We find that tweet volume and COVID-19 cases in GR and related countries are correlated, but this correlation only exists in a particular period of the pandemic. Moreover, we plot the changing of topics in each country and region from 22 January 2020 to 5 June 2020, figuring out the main differences between GR and related countries.

Reintegrating Cuba into the Global Economy

2019 ◽  
pp. 241-276
Author(s):  
Larry Catá Backer
Keyword(s):  
Presidential Election ◽  
Global Economy ◽  
The United States ◽  
The Political ◽  
Global Trade ◽  
Global Changes ◽  
Cooperation Agreement ◽  
Political Dialogue ◽  
The World ◽  
The U.S

This chapter seeks to answer the question: What internal Cuban legal adjustments are necessary for Cuba to enter into a fully normalized relationship with the United States. and the rest of the world? The chapter first focuses on the adjustments Cuba might have to undertake if it is to embed itself within the structures of global trade and finance. Next, the chapter examines the extent to which Cuba is disposed to consider these possible reforms. Third, it examines what may be possible in the aftermath of the U.S. presidential election of 2016 (and its aftermath) and other global changes, including the emergence of a Chinese alternative to national embedding in global trade. These have considerably changed the terrain within with the consequences of U.S.-Cuba normalization can be considered. The examination considers the value of the European Union’s strategic initiative, the Political Dialogue and Cooperation Agreement (PDCA), as a viable basis for Cuban reintegration in the global economy.

The Quiet Before the Storm

2005 ◽  
Vol 2 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Lawrence D. Bobo ◽  
Michael C. Dawson
Keyword(s):  
Presidential Election ◽  
The Political ◽  
National Consciousness ◽  
The U.S ◽  
2004 Presidential Election

Elections matter. This is perhaps especially true in times of deepening inequality and cultural polarization. Commentators on both sides of the political aisle were in unison on two points: the 2004 presidential election was the most important such contest in a century, and the U.S. electorate has never seemed so sharply divided. The intensity of feeling around the Bush-Kerry contest has solidified in the national consciousness a well understood distinction between “blue states” and “red states.” It has also resulted in the most complete consolidation of conservative Republican control of the executive, legislative, and judicial branches of government in history.

Sentiment Based Information Diffusion in Online Social Networks

2018 ◽  
Vol 8 (1) ◽  
pp. 60-74
Author(s):  
Mohammad Ahsan ◽  
Madhu Kumari ◽  
Tajinder Singh ◽  
Triveni Lal Pal
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Random Forests ◽  
Presidential Election ◽  
Online Social Networks ◽  
Regression Models ◽  
Information Diffusion ◽  
Comprehensive Understanding ◽  
Contextual Features ◽  
The Relationship

This article describes how social media has emerged as a main vehicle of information diffusion among people. They often share their experience, feelings and knowledge through these channels. Some pieces of information quickly reach a large number of people, while others not. The authors analyzed this variation by collecting tweets on 2016 U.S. presidential election. This article gives a comprehensive understanding of how sentiment encoded in the textual contents can affects the information diffusion, along with the effect of content features, i.e., URLs, hashtags, and contextual features, i.e., number of followers, followees, tweets generated by the user so far, account age, tweet age. In order to explore the relationship between sentiment content and information diffusion, the authors first checked the features' significance as an indicator of diffusibility by using random forests. Finally, support vectors and k-Neighbors regression models are used to capture the complete dynamics of information diffusion. Experiments and results clearly reveal that sentiment prominently helps in making a better prediction of information diffusion.

Contesting Strategic Narratives in a Global Context: The World Watches the 2016 U.S. Election

2018 ◽  
Vol 24 (1) ◽  
pp. 92-114 ◽  
Author(s):  
Randolph Kluver ◽  
Skye Cooley ◽  
Robert Hinck
Keyword(s):  
Comparative Analysis ◽  
Presidential Election ◽  
Methodological Approach ◽  
Raw Material ◽  
Innovative Technology ◽  
Global Order ◽  
News Sources ◽  
Strategic Narratives ◽  
Media Narratives ◽  
The U.S

National media narratives often embody “strategic narratives” that embody national consensus on geopolitics. The 2016 U.S. presidential election was an event of intense international interest, both for its internal drama, but also for the policy positions of both of the major candidates. This paper presents a comparative analysis of how media in four key regions covered the U.S. presidential election and its immediate aftermath. Researchers utilized an innovative technology that allowed the teams to harvest media content, from almost seventy-five global news sources, in Arabic, Farsi, Chinese, and Russian. This paper utilized the theoretical construct of strategic narratives to demonstrate how the U.S. election is incorporated into narrative constructions of global order. Theoretically, this project seeks to deepen our understanding, from a comparative methodology, of how “events,” such as the U.S. presidential election, provide the raw material for global contestations of the global order. The essay also provides a mechanism for analyzing and evaluating these narratives using Fisher’s narrative paradigm. Finally, the paper demonstrates an innovative methodological approach to comparative analysis from disparate cultural and news traditions, languages, and patterns of access to media.

scholarly journals Data-Driven Modeling and Analysis of Online Social Networks

2011 ◽  
pp. 3-17 ◽  
Author(s):  
Divyakant Agrawal ◽  
Bassam Bamieh ◽  
Ceren Budak ◽  
Amr El Abbadi ◽  
Andrew Flanagin ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Data Driven ◽  
Modeling And Analysis ◽  
Data Driven Modeling
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