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How does Algorithmic Filtering Influence Attention Inequality on Social Media?

Kayla Guangrui Li, Sunil Mithas, Zhixing Zhang, Kar Yan Tam
2019 International Conference on Information Systems  
would influence the attention inequality on social media.  ...  Our findings suggest the algorithmic filtering (1) suppresses fan attraction for unpopular users but helps to attract more interactions received by their posts at the user level, (2) helps to attract more  ...  At the user level, users who occupy most attention on social media could obtain huge fortune and dominate discussions on social media; while users who don't receive much attention can't earn money and  ... 
dblp:conf/icis/LiMZT19 fatcat:aodxdiqesbgxtb5huu2lwxukru

Mapping Internet Celebrity on TikTok: Exploring Attention Economies and Visibility Labours

Crystal Abidin
2020 Cultural Science  
Most notably, the platform is becoming more commercial and professionalized with the rise of TikTok Influencers, advertising networks, and agencies dedicated to monetizing content and embedding advertising  ...  As such, this paper is an exploratory study into the makings of internet celebrity cultures on TikTok, focused on how attention economy and visibility labour practices have emerged as a result of the app's  ...  The underlying intention is for the viewer's engagements with the post to teach the TikTok algorithmic recommendation system to serve them more of such similar posts.  ... 
doi:10.5334/csci.140 fatcat:7nqwfdk745d7jjquei6k2u5f7q

Popularity markers on YouTube's attention economy: the case of Bubzbeauty

Florencia García-Rapp
2016 Celebrity Studies  
This article focuses on issues of attention and popularity development on YouTube's beauty community.  ...  I conceptualise the role of views and subscriptions as popularity markers, based on a broader ethnographic examination of 22 months of immersed fieldwork on the platform.  ...  However, here I am interested in paying close attention to the community-based popularity affordances of her 'sustained programming' (Burgess, 2012: 55) .  ... 
doi:10.1080/19392397.2016.1242430 fatcat:wjdyssuirndh5pek2vppenjdbu

FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services

Toshihiko Yamasaki, Jiani Hu, Shumpei Sano, Kiyoharu Aizawa
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
To the best of our knowledge, this is the first attempt to recommending tags that can enhance popularity attributes of social media. We conducted extensive experiments with about 1,000 images.  ...  For these purposes, we present the FolkPopularityRank algorithm, which can score text tags based on their ability to influence the popularity-related numbers.  ...  Users often do not know which tags are more influential, and they cannot predict social popularity scores based only on tags.  ... 
doi:10.24963/ijcai.2017/451 dblp:conf/ijcai/YamasakiHSA17 fatcat:f32yx5y245gxnnsonkowvdpwmm

Toward Improving Attentive Neural Networks in Legal Text Processing [article]

Ha-Thanh Nguyen
2022 arXiv   pre-print
In this dissertation, we selectively present the main achievements in improving attentive neural networks in automatic legal document processing.  ...  In recent years, thanks to breakthroughs in neural network techniques especially attentive deep learning models, natural language processing has made many impressive achievements.  ...  To evaluate the system, we use both automatic and human-based metrics. For the generator, we use BLEU scores on the 1000 most popular contract terms according to Law Insider statistics.  ... 
arXiv:2203.08244v1 fatcat:54rx64cucfdw3bzeujrmx5s7z4

Trading Stocks Based on Financial News Using Attention Mechanism

Saurabh Kamal, Sahil Sharma, Vijay Kumar, Hammam Alshazly, Hany S. Hussein, Thomas Martinetz
2022 Mathematics  
The system executed four transactions in two weeks to develop the prediction model, earning 105,314,500 VND, a profit of over 5 million VND. BoW was employed for tokenisation.  ...  Reddit, a US-based aggregator, provided data for social news and discussions. Yahoo Finance was used to obtain financial data and information.  ... 
doi:10.3390/math10122001 fatcat:5vsylo5h3ndy3anm7sr7b4hn4q

Spotz: A Location-Based Approach to Self-awareness [chapter]

Misha Sra, Chris Schmandt
2013 Lecture Notes in Computer Science  
Spotz encourages users to become self-aware of the kinds of places they visit which can have motivational properties deriving from social feedback.  ...  The app displays a continually evolving graphic of relatively sized circles depicting the number and type of places at which the users check-in, including the option to upload this visual to social media  ...  It was suggested to include more social elements specifically a friend feature which would require more attention to privacy and security of user data.  ... 
doi:10.1007/978-3-642-37157-8_26 fatcat:6xjhrnazqbf63lsutvdpgglpqe

A comprehensive ranking model for tweets big data in online social network

Li Kuang, Xiang Tang, MeiQi Yu, Yujian Huang, Kehua Guo
2016 EURASIP Journal on Wireless Communications and Networking  
Online social network (OSN) is an important part of cyber physical system (CPS).  ...  In OSN, micro-blogging has grown rapidly to a popular online social network recently and provides a large number of real-time tweets for users.  ...  [19] studied URL recommendation on Twitter as a means to better direct user attention and found that both topic relevance and the social voting process were helpful in providing recommendations.  ... 
doi:10.1186/s13638-016-0532-5 fatcat:ro3q4va4erd5xoanc3k42cpeam

Comparing Different Layouts of Tag Clouds: Findings on Visual Perception [chapter]

Stephanie Deutsch, Johann Schrammel, Manfred Tscheligi
2011 Lecture Notes in Computer Science  
Knowing that the bigger tags earn more attention than the smaller ones, tags with small font size positioned in the bottom right quadrant risk being neglected by the users attention.  ...  Empirical Evidence Effects of tag position on user perception have not been confirmed yet. However evidence exists that larger displayed tags earn more attention than smaller tags.  ... 
doi:10.1007/978-3-642-19641-6_3 fatcat:kgqgu7t6sbhuhf2etnqqyxqpz4

Media Policy Out of the Box: Content Abundance, Attention Scarcity, and the Failures of Digital Markets

Ellen P. Goodman
2004 Social Science Research Network  
But in the digital era, it is attention that is scarce and content that is abundant.  ...  Moreover, they have paid insufficient attention to the impact of digital media on the marketplace of ideas.  ...  channels with more popular ones.  ... 
doi:10.2139/ssrn.590425 fatcat:zcmf4fpcdfhe5j7nx2pyz7oqfe

User-centered design of a social game to tag music

Luke Barrington, Damien O'Malley, Douglas Turnbull, Gert Lanckriet
2009 Proceedings of the ACM SIGKDD Workshop on Human Computation - HCOMP '09  
We describe Herd It's user-centered design process and demonstrate that the game can collect both musical and social data.  ...  Herd It differs from previous "games with a purpose" in that it is designed to be social: the game runs on the Facebook online social network and scoring is based on consensus between a large group of  ...  Contrasting this to the scale of real-world problems, the online social music network catalogs over 100 million songs that users have associated with more than 1.2 million unique tags [11] .  ... 
doi:10.1145/1600150.1600152 dblp:conf/kdd/BarringtonOTL09 fatcat:mahmn4m6qfhahfrrvcytbog3va

A Social Recommendation Mechanism for Peer-to-Peer Lending

Ting-Kai Hwang, Yung-Ming Li, Jun-Fei Wan
2018 Americas Conference on Information Systems  
This research has proposed a social recommendation mechanism to help borrowers to find suitable lenders based on the theory of social capital and techniques of social computing and to attract more potential  ...  have social relationships with borrowers.  ...  Social Popularity: Social popularity is a kind of social power in the way of gaining attention. We can call those who are very famous on social media "social star".  ... 
dblp:conf/amcis/HwangLW18 fatcat:gs5tsufjofdpfj5naq6yvhavn4

First-Mover Advantage in a Social Q&A Community

Rich Gazan
2015 2015 48th Hawaii International Conference on System Sciences  
The patterns by which participants in a social Q&A community rate and recommend answers are analyzed through the lens of first-mover advantage, to address the question of whether the first answer posted  ...  Social factors influencing rating activity and implications for interpreting future social Q&A data are discussed.  ...  Social bookmarking systems also share characteristics of recommender systems, and a wide range of research has identified power law distributions in user behavior, including tag frequency in  ... 
doi:10.1109/hicss.2015.195 dblp:conf/hicss/Gazan15 fatcat:a2wenp7mmnfgldigtnmjb2td3m

Toward Social Learning Environments

J. Vassileva
2008 IEEE Transactions on Learning Technologies  
social recommendations, trust and reputation mechanisms, mechanism design, and social visualization.  ...  This paper illustrates how social learning technologies can be designed using some existing and emerging technologies: ontologies versus social tagging, exploratory search, collaborative versus self-managed  ...  To deal with this "cold start" problem, social recommender systems usually deploy some form of content-based recommendation based on a preference profile of the user, either acquired interactively from  ... 
doi:10.1109/tlt.2009.4 fatcat:ks3w7qd27bbbvdbv6bee36cebe

Automatic Clustering of Social Tag using Community Detection

Weisen Pan, Shizhan Chen, Zhiyong Feng
2013 Applied Mathematics & Information Sciences  
tag-based service recommendation.  ...  Inspired by the relationships between co-occurring tags, we designed the social tag network. By analyzing the networks constructed, we show that the social tag network have scale free properties.  ...  Through the function tag, the requester can easily discovery the desired Web services for user. Meanwhile, the system can also recommend the related Web service to users in tag community.  ... 
doi:10.12785/amis/070235 fatcat:25em2aab2zhvzkvdulgox5jbui
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