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Predicting stock market movements is a well-known problem of interest. Now-a-days social media is perfectly representing the public sentiment and opinion about current events. Especially, twitter has attracted a lot of attention from…

Information Retrieval · Computer Science 2016-10-31 Venkata Sasank Pagolu , Kamal Nayan Reddy Challa , Ganapati Panda , Babita Majhi

Social media platforms play a pivotal role in shaping public opinion and amplifying political discourse, particularly during elections. However, the same dynamics that foster democratic engagement can also exacerbate polarization. To better…

Social and Information Networks · Computer Science 2024-12-05 Hazem Ibrahim , Farhan Khan , Hend Alabdouli , Maryam Almatrooshi , Tran Nguyen , Talal Rahwan , Yasir Zaki

The integrity of democratic political discourse is at the core to guarantee free and fair elections. With social media often dictating the tones and trends of politics-related discussion, it is of paramount important to be able to study…

Social and Information Networks · Computer Science 2023-04-19 Emily Chen , Ashok Deb , Emilio Ferrara

COVID-19 related policies were extensively politicized during the 2020 election year of the United States, resulting in polarizing viewpoints. Twitter users were particularly engaged during the 2020 election year. Here we investigated…

Computation and Language · Computer Science 2022-02-16 Megan Doman , Jacob Motley , Hong Qin , Mengjun Xie , Li Yang

With the rise of social media as an important channel for the debate and discussion of public affairs, online social networks such as Twitter have become important platforms for public information and engagement by policy makers. To…

Social and Information Networks · Computer Science 2015-08-14 B. Amor , S. Vuik , R. Callahan , A. Darzi , S. N. Yaliraki , M. Barahona

The study of how social media affects the formation of public opinion and its influence on political results has been a popular field of inquiry. However, current approaches frequently offer a limited comprehension of the complex political…

Social and Information Networks · Computer Science 2024-05-14 Pratik Gujral , Kshitij Awaldhi , Navya Jain , Bhavuk Bhandula , Abhijnan Chakraborty

Gun related violence is a complex issue and accounts for a large proportion of violent incidents. In the research reported in this paper, we set out to investigate the pro-gun and anti-gun sentiments expressed on a social media platform,…

Social and Information Networks · Computer Science 2016-09-05 Nan Wang , Blesson Varghese , Peter D. Donnelly

With the advancement of web technology and its growth, there is a huge volume of data present in the web for internet users and a lot of data is generated too. Internet has become a platform for online learning, exchanging ideas and sharing…

Computation and Language · Computer Science 2016-11-04 Vishal. A. Kharde , Prof. Sheetal. Sonawane

This aim of this article is to explore the potential use of Wikipedia page view data for predicting electoral results. Responding to previous critiques of work using socially generated data to predict elections, which have argued that these…

Social and Information Networks · Computer Science 2023-01-05 Taha Yasseri , Jonathan Bright

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and…

Social and Information Networks · Computer Science 2021-09-30 Amir Karami , Michael Zhu , Bailey Goldschmidt , Hannah R. Boyajieff , Mahdi M. Najafabadi

Increasing popularity of Twitter in politics is subject to commercial and academic interest. To fully exploit the merits of this platform, reaching the target audience with desired political leanings is critical. This paper extends the…

Social and Information Networks · Computer Science 2018-09-18 Kutlu Emre Yilmaz , Osman Abul

Election prediction has long been an evergreen in political science literature. Traditionally, such efforts included polling aggregates, economic indicators, partisan affiliation, and campaign effects to predict aggregate voting outcomes.…

Social and Information Networks · Computer Science 2020-10-29 Hamza Salem , Fabian Stephany

Twitter is one of the most popular social media. Due to the ease of availability of data, Twitter is used significantly for research purposes. Twitter is known to evolve in many aspects from what it was at its birth; nevertheless, how it…

Social and Information Networks · Computer Science 2015-09-18 Suman Kalyan Maity , Bhadreswar Ghuku , Abhishek Upmanyu , Animesh Mukherjee

A growing number of empirical studies suggest that negative advertising is effective in campaigning, while the mechanisms are rarely mentioned. With the scandal of Cambridge Analytica and Russian intervention behind the Brexit and the 2016…

Social and Information Networks · Computer Science 2019-11-14 Hongtao Liu

As the Internet gradually penetrates into people's daily lives and empowers everyone to demonstrate and exchange opinions and sentiments online, individual citizens are increasingly participating in the agenda-setting of public affairs and…

Computers and Society · Computer Science 2020-04-22 Yekai Xu , Qingqian He , Shiguang Ni

People worldwide are currently confronted with a number of technological challenges, which act as a potent source of uncertainty. The uncertainty arising from the volatility and unpredictability of technology (such as AI) and its potential…

Artificial Intelligence · Computer Science 2024-07-26 Alina Landowska , Maciej Skorski , Krzysztof Rajda

Nowadays, social media represent persuasive tools that have been progressively weaponized to affect people's beliefs, spread manipulative narratives, and sow conflicts along divergent factions. Software-controlled accounts (i.e., bots) are…

Social and Information Networks · Computer Science 2020-10-30 Luca Luceri , Felipe Cardoso , Silvia Giordano

This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA). To do this, a set of 7430 tweets…

Social and Information Networks · Computer Science 2020-07-09 Ikechukwu Onyenwe , Samuel Nwagbo , Njideka Mbeledogu , Ebele Onyedinma

Human dynamics and sociophysics suggest statistical models that may explain and provide us with better insight into social phenomena. Here we propose a generative model based on a stochastic differential equation that allows us to analyse…

Physics and Society · Physics 2018-05-17 Trevor Fenner , Mark Levene , George Loizou

Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration of public views on important social issues such as…

Social and Information Networks · Computer Science 2015-06-30 Hemant Purohit , Tanvi Banerjee , Andrew Hampton , Valerie L. Shalin , Nayanesh Bhandutia , Amit P. Sheth