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Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping
2019
Proceedings of the ICA
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</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)
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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
2009
2009 IEEE International Conference on Multimedia and Expo
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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
2019
Selected Papers of Internet Research, SPIR
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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
2013
Computer journal
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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
2021
Applied Sciences
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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
2022
Journal of Healthcare Engineering
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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
2018
International Journal of Engineering & Technology
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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]
2018
arXiv
pre-print
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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]
2011
Social Media Modeling and Computing
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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
2019
2019 IEEE Conference on Visual Analytics Science and Technology (VAST)
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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]
2021
arXiv
pre-print
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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]
2013
Lecture Notes in Computer Science
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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
2020
MethodsX
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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
2019
Selected Papers of Internet Research, SPIR
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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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