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Multi-dimensional Conversation Analysis across Online Social Networks
[article]
2013
arXiv
pre-print
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In this work, we observe user interactions across two popular online social networks, Facebook and Twitter, and analyze which factors lead to retweet/like interactions for tweets/posts. ...
We believe that the results of our analysis can help researchers to understand which social network content will have better visibility. ...
across multiple online social networks has not been studied yet. ...
arXiv:1312.6756v1
fatcat:l4inh2gz35c35jgfluhkapww7m
International Norms and Socio-technical Systems: Connecting Institutional and Technological Infrastructures in Governance Processes
[chapter]
2012
IFIP Advances in Information and Communication Technology
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Adopting a constructivist approach, combined with a focus on governance networks the authors introduce a multi-dimensional analytical framework to investigate governance processes where institutions and ...
Moreover, in the context of widely diffused information technologies, semantic and social networks develop across the online/offline boundary. ...
Thus, online thematic networks may provide insights on how multi-actor conversations pushed offline by a relevant governance process are translated into web-based conversational fluxes that are accessible ...
doi:10.1007/978-3-642-33332-3_6
fatcat:usoh2t4hwngnbeus2ltvxzwbqq
Factors Influencing Online Social Interactions
[chapter]
2011
Lecture Notes in Computer Science
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This study successfully gathers information and proposes an approach to organize the user motivation into a dimensional scale for online social Interactions. ...
In this paper, factors influencing social interactions with seven popular social networking sites are studied in the Indian context. ...
Secondly the study also validates the factors studied and helped arrive at an approach for creating a multi-dimensional scale for Social Interactions in general. ...
doi:10.1007/978-3-642-21796-8_38
fatcat:uu6huftswbgebasfrlpwnfsd6a
CAMTA: Causal Attention Model for Multi-touch Attribution
[article]
2021
arXiv
pre-print
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Advertising channels have evolved from conventional print media, billboards and radio advertising to online digital advertising (ad), where the users are exposed to a sequence of ad campaigns via social ...
networks, display ads, search etc. ...
) is based on survival theory for multi-channel attribution problem in online advertising. ...
arXiv:2012.11403v2
fatcat:rsgo5kh7t5djxby5mr6hfo37lu
Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media
[article]
2021
arXiv
pre-print
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In this work, we focus on detecting sarcasm in textual conversations from various social networking platforms and online media. ...
We show the effectiveness of our approach by achieving state-of-the-art results on multiple datasets from social networking platforms and online media. ...
These are sourced from varied online platforms including social networks and discussion forums. ...
arXiv:2101.05875v1
fatcat:2xwggicxqjftjpyn3juvzj4hhi
Exploring Asynchronous Online Discussions through Hierarchical Visualisation
2009
2009 13th International Conference Information Visualisation
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We introduce a highly customisable Social Visualisation system for exploring online discussions through visual representations of conversation threads. ...
intrinsic structure of online conversations. ...
single multi-threaded conversations. ...
doi:10.1109/iv.2009.14
dblp:conf/iv/Pascual-CidK09
fatcat:fb6missjbfezjjnjobrede74ky
Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key
[article]
2021
arXiv
pre-print
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Nevertheless, detecting online toxicity is challenging due to its multi-dimensional, context sensitive nature. ...
As exposure to online toxicity can have serious social consequences, reliable models and algorithms are required for detecting and analyzing such communication across the vast and growing space of social ...
As we argue that toxic behavior is multi-dimensional, leading to ambiguity and false alarms, we employ a multilevel and multi-dimensional approach that helps capture differences between various cultural ...
arXiv:2104.10788v2
fatcat:dbaat7cbxnhmpdnbw6rzuuksqa
A planetary nervous system for social mining and collective awareness
2012
The European Physical Journal Special Topics
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level.Social mining is the problem of discovering patterns and models of human behaviour from the sensed data across the various social dimensions by data mining, machine learning and social network analysis ...
mining, and the idea of trust networks and privacy-aware social mining. ...
To this aim, social mining needs novel concepts of multi-dimensional pattern discovery and machine learning, and of multi-dimensional social network analysis. ...
doi:10.1140/epjst/e2012-01688-9
fatcat:4bjj4ukpzvhd5fhpt2xnf45eli
Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media
2021
Entropy
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In this work, we focus on detecting sarcasm in textual conversations from various social networking platforms and online media. ...
We show the effectiveness of our approach by achieving state-of-the-art results on multiple datasets from social networking platforms and online media. ...
These are sourced from varied online platforms including social networks and discussion forums. ...
doi:10.3390/e23040394
pmid:33810363
fatcat:542l4avmxjapbp3rddo3zowawq
Socioeconomic Patterns of Twitter User Activity
2021
Entropy
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Privacy is preserved by using anonymized data, and abstracting human mobility and online conversation topics as aggregated high-dimensional vectors. ...
In particular, we look at the way people explore cities and use topics of conversation online as a means of inferring individual socioeconomic status. ...
Previous analysis of social networks show that those long range connections, which are responsible for the spread of information across the whole system, are also unequally distributed among the different ...
doi:10.3390/e23060780
pmid:34205367
pmcid:PMC8235538
fatcat:fdrg5633dzhgbccobsixuw32u4
Procedures for Analyses of Online Communities
2006
Journal of Computer-Mediated Communication
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This article details a set of procedures for the analysis and interpretation of the content and structure of online networks and communities. ...
to receive his M.A. from the Department of Communicationm with a focus in Social Network Analysis and Organizational Communication. ...
Semantic network analysis is similar to social network analysis in that it uses a node (or actor, which can be discrete individual, corporate, or social entities) and link (or relational tie, the defining ...
doi:10.1111/j.1083-6101.2003.tb00219.x
fatcat:qodcsk3wifcbbjdisj64yknfru
Analyzing player networks in Destiny
2018
Entertainment Computing
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In this paper, a large-scale study of social networks in hybrid online games/ shooters is presented. ...
ABSTRACT Destiny is a hybrid online shooter sharing features with Massively Multi-Player Online Games and first-person shooters and is the to date the most expensive digital game produced. ...
[16] compare social relationships in four multi-player online games and discuss how these compare to online social networks such as Facebook. ...
doi:10.1016/j.entcom.2017.12.001
fatcat:dzzjnkigfjbupmodg7qjgkhape
Online Topic-based Social Influence Analysis for the Wimbledon Championships
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
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In this paper, we define various functional and usability criteria that social influence scores should satisfy, and propose a multi-dimensional definition of influence that satisfies these criteria. ...
IBM developed and deployed social influence analysis capability for AELTC during the 2014 edition of the Championship. ...
In summary, we have presented our online, multi-dimensional approach for topic-specific social influence analysis which was successfully deployed for the Wimbledon 2014 Tennis Championships. ...
doi:10.1145/2783258.2788593
dblp:conf/kdd/EmbarBPV15
fatcat:wocw3ldk2fadzjo6lzzfzt2uoi
A Research on Detection of Sarcasm using Machine Learning Techniques
2019
International journal of recent technology and engineering
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Today in the era of flooding information on online forums, social media where decision making of customer(user) is assisted in all possible ways. ...
To make it more realistic most of assistants and chatbots are built in conversational format which guide user to get correct information. ...
Methodology Used: Multi-dimensional Intra-Attention Recurrent Network (MIARN) (Yi Tayy, July 15 -20, 2018) (Taradheesh Bali, December 12 2016) proposed a novel approach to detect sarcasm on social media ...
doi:10.35940/ijrte.b1160.0982s1119
fatcat:2tcj3zegkzgizhzljr5is5bzgu
A Review on Text-Based Emotion Detection – Techniques, Applications, Datasets, and Future Directions
[article]
2022
arXiv
pre-print
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It also reviews the different applications of TBED across various research domains and highlights its use. ...
Hence, it is essential for machines to understand emotions in opinions, feedback, and textual dialogues to provide emotionally aware responses to users in today's online world. ...
We are focusing on online social media, conversational agents, and review systems. ...
arXiv:2205.03235v1
fatcat:b3m25fg6xfc3leeym22eqysq5a
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