Search results for "Social media."

Learning Automata-based Misinformation Mitigation via Hawkes Processes

2021

AbstractMitigating misinformation on social media is an unresolved challenge, particularly because of the complexity of information dissemination. To this end, Multivariate Hawkes Processes (MHP) have become a fundamental tool because they model social network dynamics, which facilitates execution and evaluation of mitigation policies. In this paper, we propose a novel light-weight intervention-based misinformation mitigation framework using decentralized Learning Automata (LA) to control the MHP. Each automaton is associated with a single user and learns to what degree that user should be involved in the mitigation strategy by interacting with a corresponding MHP, and performing a joint ra…

Information Abstraction from Crises Related Tweets Using Recurrent Neural Network

2016

Social media has become an important open communication medium during crises. The information shared about a crisis in social media is massive, complex, informal and heterogeneous, which makes extracting useful information a difficult task. This paper presents a first step towards an approach for information extraction from large Twitter data. In brief, we propose a Recurrent Neural Network based model for text generation able to produce a unique text capturing the general consensus of a large collection of twitter messages. The generated text is able to capture information about different crises from tens of thousand of tweets summarized only in a 2000 characters text.

Information flow and WOM in social media and online communities

2017

Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags

2013

Social media services such as Last.fm provide crowd-sourced mood tags which are a rich but often noisy source of information. In contrast, editorial annotations from production music libraries are meant to be incisive in nature. We compare the efficiency of these two data sources in capturing semantic information on mood expressed by music. First, a semantic computing technique devised for mood-related tags in large datasets is applied to Last.fm and I Like Music (ILM) corpora separately (250,000 tracks each). The resulting semantic estimates are then correlated with listener ratings of arousal, valence and tension. High correlations (Spearman's rho) are found between the track positions in…

ChiLab4It system in the QA4FAQ competition

2017

ChiLab4It is the Question Answering system (QA) for Frequently Asked Questions (FAQ) developed by the Computer-Human Interaction Laboratory (ChiLab) at the University of Palermo for participating to the QA4FAQ task at EVALITA 2016 competition. The system is the versioning of the QuASIt framework developed by the same authors, which has been customized to address the particular task. This technical report describes the strategies that have been imported from QuASIt for implementing ChiLab4It, the actual system implementation, and the comparative evaluations with the results of the other participant tools, as provided by the organizers of the task. ChiLab4It was the only system whose score re…

@DMOs Promote Hotel Occupancy in Tourist Destinations: An Abstract

2017

Destination marketing organizations (DMOs) are aware of Twitter’s relevance, and they have now integrated Twitter into their own websites (Luna-Nevarez and Hyman 2012). Because of their growing practical importance, social media have become strong allies for tourism destinations. Social media are used by both tourists and providers (Leung et al. 2013), so research is needed to show social media’s direct contribution to the tourism sector. To improve our knowledge of the effect of social media in tourism, this study examines how DMOs’ use of Twitter affects hotel occupancy in tourist destinations. Our conceptual framework presents a model of the links between predictors of tourist occupancy …

TRENDS IN THE DEVELOPMENT OF INTEGRATED MARKETING COMMUNICATION IN THE CONTEXT OF DIGITAL MARKETING

2019

Nowadays, in the context of digital marketing and social media development, with the advantages given by technologies and the vast possibilities of communication among consumers, businesses find the implementation of integrated marketing communication influenced by the Internet as a marketing communication environment where businesses are urged into a customer-centric approach by the consumers’ changing habits of receiving information. This results in an increased role of content marketing, relationship orientation, dialogue and network communication, management of multiple stakeholders etc., which envisages consumer involvement with a view to mitigating the consequences caused by the obsta…

Social Media News: Motivation, Purpose and Usage

2013

This paper presents the results of an online survey which was conducted to analyse the use of social web in the context of daily news. Users' motivation and habit in the news consumption were focused. Moreover, users' news behaviour was distinguished in three purposes such news consumption, news production and news dissemination to find out if the usage has a passive or active character. In a second step it was questioned which social software is used for which purpose. In conclusion users appreciate social software for features such as interactivity and information that traditional media does not provide. Among the social web platforms users prefer social networking sites as well as videos…

Mothers’ self-representations and representations of childhood on social media

2023

Funding Information: This work was supported by Kone Foundation, Academy of Finland (#320370), Strategic Research Council (#327237), Strategic Research Council (#327395), Intimacy in Data-driven Culture (IDA). The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Publisher Copyright: © 2023, Minna Kallioharju, Terhi-Anna Wilska and Annamari Vänskä. Purpose: The purpose of this paper is to examine mothers’ social media accounts that focus on children’s fashion. The authors probed children’s fashion photo practices as representations of the mothers’ extended self and the kind of childhood representations produce…

Media Effects on Positive and Negative Learning

2017

While educational science in the past mainly focused on students’ formal or intentional learning from courses, textbooks, or online tutorials in university contexts, communication science usually deals with ordinary citizens’ informal or unintentional learning from the mass media in everyday life. One of the general aims of the PLATO project is to bring these research traditions together. Therefore, this paper sums up research on media effects on positive and negative learning recently conducted; our studies show that media coverage is often biased and news media, therefore, contribute to negative as well as positive learning. Which kind of learning occurs, heavily depends on the way inform…