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Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping

Xiao Huang, Cuizhen Wang, Zhenlong Li
2019 Proceedings of the ICA  
</strong> Recent years have seen the growth of popularity in social media, especially in social media based disaster studies.  ...  However, considering that ontopic (flood related) social media only comprises a small amount in the entire social media space, a robust extraction method is in great need.  ...  However, given the fact that flood relevant (on topic) social media only comprises a small amount in the entire social media space, how to automatically and efficiently select those ontopic social media  ... 
doi:10.5194/ica-proc-2-45-2019 fatcat:nfpl6rtn3baqnav35zwtpaoqt4

Context Aware Location Identification in Social Media Environment

2015 International Journal of Science and Research (IJSR)  
The explosive growth of photos/videos and the advent of media sharing services have drastically increased the volume of user contributed multimedia resources, which bring profound social impacts to the  ...  Besides plain visual or audio signals, such large-scale media are augmented with rich context such as user-provided tags, geolocations, time, device metadata, and so on, benefiting a wide variety of potential  ...  Aside from the visual signals in social media, there are rich textual and visual cues [3] , device metadata, and user interactions for context-aware social and organizing purposes [4] .  ... 
doi:10.21275/v4i11.nov151065 fatcat:74uzbph3jvb7za4u6fqx4ckrqi

Knowledge discovery over community-sharing media: From signal to intelligence

Winston Hsu, Tao Mei, Rong Yan
2009 2009 IEEE International Conference on Multimedia and Expo  
Besides plain visual or audio signals, such large-scale media are augmented with rich context such as user-provided tags, geolocations, time, device metadata, and so on, benefiting a wide variety of potential  ...  The explosive growth of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed multimedia resources, which bring profound social impacts to the society  ...  Aside from the visual signals in social media, there are rich textual and visual cues [3] , device metadata, and user interactions for context-aware social and organizing purposes [4] .  ... 
doi:10.1109/icme.2009.5202775 dblp:conf/icmcs/HsuMY09 fatcat:nzblrwkfjfdcvfhlc65pvkotbi

CRITICAL SIMULATION: INVESTIGATING THE WORK OF MACHINE VISION IN VISUAL SOCIAL MEDIA CULTURE

Nicholas Carah, Daniel Angus, Adam Smith
2019 Selected Papers of Internet Research, SPIR  
In this paper we detail a critical response to the use of automation in visual social media, called critical simulation.  ...  Social media are in the midst of an emphatic visual turn (Highfield & Leaver 2016), characterised by the convergence of everyday visual expression with professional creative practice and advertising.  ...  The advertising-driven business models of visual social media platforms depend on automated, algorithmic processes, including the use of computational models to automatically classify images, a process  ... 
doi:10.5210/spir.v2019i0.10930 fatcat:ukerzkuzwjg3vcn5i5e63jtpda

Clustering Media Items Stemming from Multiple Social Networks

Thomas Steiner, Ruben Verborgh, Joaquim Gabarro, Erik Mannens, Rik Van de Walle
2013 Computer journal  
In the past, we have worked on methods to accumulate such public user-generated multimedia content in order to summarize events visually, for example, in the form of media galleries or slideshows.  ...  We have created and evaluated an algorithm capable of deduplicating and clustering exact-and near-duplicate media items that get published and shared on multiple social networks in the context of events  ...  European Commission under Grant No. 248296 FP7 I-SEARCH project, The described research activities were funded by Ghent University, the Institute for the Promotion of Innovation by Science and Technology in  ... 
doi:10.1093/comjnl/bxt147 fatcat:xukygkxrejdcvgwetiexwzi54y

Framework for Social Media Analysis Based on Hashtag Research

Ladislav Pilař, Lucie Kvasničková Stanislavská, Roman Kvasnička, Petr Bouda, Jana Pitrová
2021 Applied Sciences  
These data have high research potential in many fields, because understanding people's communication on social media is essential to understanding their attitudes, experiences and behaviours.  ...  This article describes the Social Media Analysis based on Hashtag Research (SMAHR) framework, which uses social network analysis methods to explore social media communication through a network of hashtags  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/app11083697 fatcat:ebi5scsdfre4hpkgrxaij7af34

Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World

Abdelaziz Darwiesh, Mohammed. I Alghamdi, A. H. El-Baz, Mohamed Elhoseny, M. Praveen Kumar Reddy
2022 Journal of Healthcare Engineering  
The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems.  ...  In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity.  ...  In this step, a suitable technique to obtain insights from the selected features is chosen. Algorithm 6 describes how this step is working. Visualization. is is the last step.  ... 
doi:10.1155/2022/6967158 pmid:35281539 pmcid:PMC8913073 fatcat:gfjf2zrbefe6bhaarqw5l243ta

Sentimental analysis on social media data using R programming

Mandava Geetha Bhargava, Duvvada Rajeswara Rao
2018 International Journal of Engineering & Technology  
This paper focuses on survey on different types of sentimental analysis methods and main contribution of this paper include sentimental analysis of social media data on different types of cryptocurrencies  ...  to secure transactions, the different types of cryptocurrency are available in the market such as Bitcoin, Litecoin, and Namecoin...etc.  ...  of Polarity and Emotions which was classified by selected algorithm and where the end-user or user can understand the phenomena of selected entity in market arena.  ... 
doi:10.14419/ijet.v7i2.31.13402 fatcat:xx2rqih5ercu7lzzuhi4enf7ti

Combating Fake News with Interpretable News Feed Algorithms [article]

Sina Mohseni, Eric Ragan
2018 arXiv   pre-print
Further, as demonstrated in recent political events in the US and EU, malicious bots and social media users can create and propagate targeted 'fake news' content in different forms for political gains.  ...  We discuss how improved user awareness and system transparency could mitigate unwanted outcomes of echo chambers and bubble filters in social media.  ...  ., misuse of user data) of using personalized content selection algorithms in social media.  ... 
arXiv:1811.12349v2 fatcat:ud4wixjxangsllbwtoxqawij4q

Combining Multi-modal Features for Social Media Analysis [chapter]

Spiros Nikolopoulos, Eirini Giannakidou, Ioannis Kompatsiaris, Ioannis Patras, Athena Vakali
2011 Social Media Modeling and Computing  
In this chapter we discuss methods for efficiently modeling the diverse information carried by social media.  ...  Tagged images taken from social sites have been used in the characteristic scenarios of image clustering and retrieval, to demonstrate the benefits of multi-modal analysis in social media.  ...  In the next section, we present a modification of this algorithm which can be employed to solve the social media clustering in multiple feature spaces problem.  ... 
doi:10.1007/978-0-85729-436-4_4 fatcat:c5rsc2fi5zcglcmgtvsa5b6fca

RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model

Astrik Jeitler, Alpin Turkoglu, Denis Makarov, Timo Jockers, Juri Buchmuller, Udo Schlegel, Daniel A. Keim
2019 2019 IEEE Conference on Visual Analytics Science and Technology (VAST)  
We describe the data analysis and visualization process of the social media data applied to extract the relevant information.  ...  In disaster situations operators must take quick and effective decisions to solve critical problems.  ...  In this paper we describe our approach in solving the problem with RescueMark, a web-based visual analytics decision dashboard based on the social media messages sent during the disaster situation.  ... 
doi:10.1109/vast47406.2019.8986898 dblp:conf/ieeevast/JeitlerTMJBSK19 fatcat:xtkldccevvbathh4hh42kfjme4

Real-Time Visual Analysis of High-Volume Social Media Posts [article]

Johannes Knittel, Steffen Koch, Tan Tang, Wei Chen, Yingcai Wu, Shixia Liu, Thomas Ertl
2021 arXiv   pre-print
In this work, we present an interactive system that enables the visual analysis of streaming social media data on a large scale in real-time.  ...  Breaking news and first-hand reports often trend on social media platforms before traditional news outlets cover them.  ...  In this work, we present an interactive system that enables the visual analysis of streaming social media data on a large scale in real-time.  ... 
arXiv:2108.03052v1 fatcat:xyqsczefsjhdno6x2gag6dr5k4

Social Visual Image Ranking for Web Image Search [chapter]

Shaowei Liu, Peng Cui, Huanbo Luan, Wenwu Zhu, Shiqiang Yang, Qi Tian
2013 Lecture Notes in Computer Science  
In this paper, we propose a novel image ranking approach to web image search, in which we use social data from social media platform jointly with visual data to improve the relevance between returned images  ...  Specifically, we propose a community-specific Social-Visual Ranking(SVR) algorithm to rerank the Web images by taking social relevance into account.  ...  In our experiments, we select 20 testing pairs for each query. The smaller the AR value, the better the algorithm performance.  ... 
doi:10.1007/978-3-642-35725-1_22 fatcat:2gcnnzdo35hrpm7qsenqlpqwm4

Modeling Influence and Community in Social Media Data using the Digital Methods Initiative-Twitter Capture and Analysis Toolkit (DMI-TCAT) and Gephi

Jacob Groshek, Vincent de Mees, Rob Eschmann
2020 MethodsX  
With DMI - TCAT and the open source data visualization software Gephi, social data in the millions of units is quickly and easily sorted by algorithms to find users or items of importance on Twitter, such  ...  algorithm; • Identify community groups by adding color using the modularity algorithm; • Spatialize networks through applying the openord algorithm; • Make social network graphs dynamic and interactive  ...  Importantly, with the DMI-TCAT software, social media data in the millions of units can be preprocessed to effectively use and sort by algorithms to find users, content, patterns, or items of importance  ... 
doi:10.1016/j.mex.2020.101164 pmid:33665150 pmcid:PMC7897708 fatcat:e3b34fpwrrboth6wzg5x47z6zu

A NEW STANDARD OF PROOF? DISCOURSES ON VISUAL DATA AFTER THE 2017 G20-PROTESTS

Rebecca Venema, Katharina Lobinger
2019 Selected Papers of Internet Research, SPIR  
In turn, they triggered heated debates in the political realm and in specialized media coverage in which trust played a striking key role.  ...  Findings indicate that concrete practices of visual data collection and analysis remained obscure and a critical blind spot in the general media coverage.  ...  Second, visual data and algorithmic analytical tools played a pivotal role in this case.  ... 
doi:10.5210/spir.v2019i0.11034 fatcat:vscae53exnbztoguu775v5it2q
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