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Stance Detection on Social Media: State of the Art and Trends [article]

Abeer AlDayel, Walid Magdy
2020 arXiv   pre-print
This paper surveys the work on stance detection and situates its usage withincurrent opinion mining techniques in social media.  ...  Stance detection on social media is an emerging opinion mining paradigm for various social and political applications wheresentiment analysis might be seen sub-optimal.  ...  STANCE DETECTION APPLICATIONS Stance detection has been mainly used to identify the attitude towards an entity of analysis to allow measuring public opinion towards an event or entity.  ... 
arXiv:2006.03644v1 fatcat:hw3qqg2k3vbkjodef764c46ajy

Detecting Meaconing Attacks by Analysing the Clock Bias of Gnss Receivers

Daniel Marnach, Sjouke Mauw, Miguel Martins, Carlo Harpes
2013 Artificial Satellites  
The algorithm was able to detect the beginnings and the ends of all six attacks, while resulting in no more than two false positives, even though the average delay introduced by the meaconing stations  ...  Existing Global Navigation Satellite Systems offer no authentication of their satellite signals towards their civilian users.  ...  A corresponding public key could then be used by anybody to verify the authenticity of the message.  ... 
doi:10.2478/arsa-2013-0006 fatcat:5t5kqvn74jdyplqfq22muwicqu

A Survey of Techniques for Event Detection in Twitter

Farzindar Atefeh, Wael Khreich
2013 Computational intelligence  
Finally, it highlights the need for public benchmarks to evaluate the performance of different detection approaches and various features.  ...  Twitter streams contain large amounts of meaningless messages and polluted content, which negatively affect the detection performance.  ...  Similarity between events is measured using traditional metrics such as the Euclidean distance, Pearson's correlation coefficient, and cosine similarity.  ... 
doi:10.1111/coin.12017 fatcat:wr3wcvxmavbarityeu2szfcuw4

Survey on AI-Based Multimodal Methods for Emotion Detection [chapter]

Catherine Marechal, Dariusz Mikołajewski, Krzysztof Tyburek, Piotr Prokopowicz, Lamine Bougueroua, Corinne Ancourt, Katarzyna Węgrzyn-Wolska
2019 Msphere  
We focus on the impact of emotion analysis and state of the arts of multimodal emotion detection.  ...  The purpose of this paper is to investigate the possibility of automated emotion representation, recognition and prediction its state-of-the-art and main directions for further research.  ...  Twitter is a social network that allows the user to freely publish short messages, called Tweets via the Internet, instant messaging or SMS.  ... 
doi:10.1007/978-3-030-16272-6_11 fatcat:fzyhqntc7rb3fdsic4fzsippzq

Stance Detection using Extreme Learning Machine with Improved Agglomerative Hierarchical Clustering on Social Network

2019 International journal of recent technology and engineering  
Preprocessing, keyword extraction, stance detection using ELM and clustering using IAHC algorithm were there in this system.  ...  Stance detection has recently gained significant attention in research and it is sentimental clustering, further it forms a primary segment of the larger research challenge posed from Facebook groups.  ...  like email, online shopping, online business networking and instant messaging, in the people's work and life [1] .The data addresses the accessibility once after it appears on the online social network  ... 
doi:10.35940/ijrte.d9426.118419 fatcat:57skqu62ancnxngvpurt4xspuq

Internet Censorship detection: A survey

Giuseppe Aceto, Antonio Pescapé
2015 Computer Networks  
Finally, we compare and discuss detection architectures, tools and platforms, and we use the results to infer current challenges and for proposing new directions in the field of censorship detection. 4  ...  Detection of Internet Censorship is the basis for the study of this phenomenon, and recently it has received focus from a technical point of view.  ...  ACKNOWLEDGEMENTS We are grateful to the Editor and the anonymous reviewers, whose comments helped us improving the quality of the paper.  ... 
doi:10.1016/j.comnet.2015.03.008 fatcat:hfobj6upjjhyzdh2joujhtiziu

Addressing Event-Driven Concept Drift in Twitter Stream: a Stance Detection Application

Alessio Bechini, Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni, Alessandro Renda
2021 IEEE Access  
ALESSANDRO RENDA received the M.Sc. degree in Biomedical Engineering from the University of Pisa, Italy, in 2017.  ...  He is currently working as a research fellow at the Department of Information Engineering of the University of Pisa, Italy.  ...  This observation applies, for instance, to the online monitoring of public opinion: in opinion mining / stance detection tasks, a classification model is typically trained to discern between tweets that  ... 
doi:10.1109/access.2021.3083578 fatcat:23z6gca3ubhi3jsdkt3gmkvlpe

Detecting influencers in social media discussions

Sara Rosenthal
2014 XRDS Crossroads The ACM Magazine for Students  
This provides a single example of the usefulness of providing comprehensive components in the detection of influence.  ...  Detecting influence can be useful for successful advertisement strategies, detecting terrorist leaders and political campaigning.  ...  We use sentence similarity [Guo and Diab, 2012] to determine the similarity between the Q-R posts.  ... 
doi:10.1145/2659889 fatcat:zmrceftbbbbidh3yoru3w3i3ra

Sentiment Analysis to Detect Mental Depression Based on Twitter Data

Vishal Tyag
2020 International Journal for Research in Applied Science and Engineering Technology  
The objective of this briefing is to present an overview about the use of sentiment analysis to detect mental depression. Mental illness is among the most prevalent yet overlooked issues.  ...  the major cause of disability all over the world [1].  ...  Intent Analysis Intent analysis steps up the game by analyzing the user's intention behind a message and identifying whether it relates an opinion, news, marketing, complaint, suggestion, appreciation  ... 
doi:10.22214/ijraset.2020.31392 fatcat:vnighzzj25fqhlamtl7fsv5qqu

Multi-Strategic Trust Evaluation for Intrusion Detection in Wireless Sensor Networks

Putty Srividya, Osmania University, Lavadya Devi, Osmania University
2021 International Journal of Intelligent Engineering and Systems  
Each node in the network measures the overall trust of its neighbor nodes based on these three metrics and decides whether it is malicious or not.  ...  Extensive Simulations are conducted over the proposed intrusion detection mechanism and the performance is evaluated through Malicious Detection Rate, False Positive Rate and Packet Delivery Ratio.  ...  The first two trusts measures the communication trust between nodes while the last one measure the capacity of sensor nodes.  ... 
doi:10.22266/ijies2021.0430.10 fatcat:cenxrbcjajayrllrf4zej6cen4

TIDS: Trust-Based Intrusion Detection System for Wireless Ad-hoc Networks [chapter]

Novarun Deb, Nabendu Chaki
2012 Lecture Notes in Computer Science  
In fact, the proposed solution not only detects intrusions but also proactively responds towards route setup avoiding the compromised nodes.  ...  This paper aims to propose a new trust-based Intrusion Detection system (IDS) for wireless, ad-hoc networks with or without mobility of nodes.  ...  The contingency and Fellowship provided by the Advanced Technology Cell has played a vital role in the completion and publication of this work.  ... 
doi:10.1007/978-3-642-33260-9_6 fatcat:l4qwz4ocjrb5lio3qlc2bvim2m

Battling the Internet Water Army: Detection of Hidden Paid Posters [article]

Cheng Chen, Kui Wu, Venkatesh Srinivasan, Xudong Zhang
2011 arXiv   pre-print
., to influence the opinion of other people towards certain social events or business markets.  ...  We design and validate a new detection mechanism, using both non-semantic analysis and semantic analysis, to identify potential online paid posters.  ...  Sciences and Engineering Research Council of Canada (NSERC) for partial funding support and Mathematics of Information Technology And Complex Systems (MITACS) for supporting Xudong Zhang's internship at the  ... 
arXiv:1111.4297v1 fatcat:4b2hsjvlpvh47ju7whqx3kkikm

A Framework for Detecting Event related Sentiments of a Community [article]

Muhammad Aslam Jarwar
2019 arXiv   pre-print
The main object of this research is to know the sentiments of a specific community on various events. For detecting the event based sentiments of a community we propose a generic framework.  ...  The event based tweets are pre-processed. Pre-processed tweets are then analyzed for detecting sentiments of a community for specific events.  ...  A direct message gives the facility to users like private instant messaging. Twitter also supports sending direct message to a group of up to 50 people.  ... 
arXiv:1903.00232v2 fatcat:c5n3qtmx5vbo3lfv7qa3dnwsda

Toward A Network-Assisted Approach for Effective Ransomware Detection [article]

Tianrou Xia, Yuanyi Sun, Sencun Zhu, Zeeshan Rasheed, Khurram Shafique
2020 arXiv   pre-print
The experiment results show that our network-level detection mechanisms are separately applicable to WAN and LAN environments for ransomware detection.  ...  As a result, victims lose the access to their files and desktops unless they pay the ransom to the attackers.  ...  We can observe that DR performs best when coming across message overhead measurement because it directly uses the detection results of local detection mechanism which does not produce any additional messages  ... 
arXiv:2008.12428v2 fatcat:ynzz4ig75jf5jie7kscvougdrq

Fake News Detection on Social Media: A Data Mining Perspective [article]

Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu
2017 arXiv   pre-print
Because the issue of fake news detection on social media is both challenging and relevant, we conducted this survey to further facilitate research on the problem.  ...  The extensive spread of fake news has the potential for extremely negative impacts on individuals and society.  ...  Specifically, accuracy measures the similarity between predicted fake news and real fake news.  ... 
arXiv:1708.01967v3 fatcat:b727omad7rfcvpk6glmhr5djg4
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