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Towards unsupervised home location inference from online social media

Chao Huang, Dong Wang, Shenglong Zhu, Daniel Yue Zhang
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/faqqmambavbalpofpx3p6nntua" style="color: black;">2016 IEEE International Conference on Big Data (Big Data)</a> </i> &nbsp;
In this paper, we study the problem of accurately inferring the home locations of people from the noisy and sparse data they voluntarily share on online social media.  ...  In particular, the UHLI scheme addresses the critical challenges of using sparse and noisy online social media data and derives an optimal solution to the home location inference problem.  ...  In this paper, we study the problem of accurately inferring the home locations of people from the noisy and sparse data they contribute on online social media.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigdata.2016.7840660">doi:10.1109/bigdata.2016.7840660</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bigdataconf/HuangWZZ16.html">dblp:conf/bigdataconf/HuangWZZ16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yfnpokcc5fgujhnua5rrjguewm">fatcat:yfnpokcc5fgujhnua5rrjguewm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170505143632/http://www3.nd.edu:80/~sslab/pdf/bigdata16-c.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cc/6b/cc6b86d1eed90caa80dad412483e8f543d3a50b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/bigdata.2016.7840660"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic [article]

Taylor Blose, Prasanna Umar, Anna Squicciarini, Sarah Rajtmajer
<span title="2020-10-10">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Text analyses reveal topical shift toward supportiveness and support-seeking in self-disclosing conversation on Twitter.  ...  We run a comparable analysis of Tweets from Hurricane Harvey to provide context for observed effects and suggest opportunities for further study.  ...  But what we may also be seeing is a reflection of a general trend toward greater self-disclosure in online social media over the course of nearly three years separating the two events.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09717v2">arXiv:2004.09717v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i6l3rt7trbhdjmgyzgibgpgyqi">fatcat:i6l3rt7trbhdjmgyzgibgpgyqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201119054616/https://arxiv.org/pdf/2004.09717v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/01/b9/01b97f5c7375634388a80a5674cac1f9a7e8424e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09717v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Location Inference from Tweets using Grid-based Classification [article]

Oluwaseun Ajao, Deepak P, Jun Hong
<span title="2017-01-14">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To the best of our knowledge our approach is the first to make location inference from tweets using geo-enriched grid-based classification.  ...  The impact of social media and its growing association with the sharing of ideas and propagation of messages remains vital in everyday communication.  ...  (2014) proposed a solution that constantly infers location of users from the social stream 3 Methodology Problem Definition The task is in essence inferring user locations on Twitter based on their  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.03855v1">arXiv:1701.03855v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h3zjav2ianczxhvi6fm2mp3dhu">fatcat:h3zjav2ianczxhvi6fm2mp3dhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905080821/https://arxiv.org/pdf/1701.03855v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/a2/3ca2199961e2e83b8c8fb5f607a3fb276957ad3f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.03855v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

What demographic attributes do our digital footprints reveal? A systematic review

Joanne Hinds, Adam N. Joinson, David Garcia
<span title="2018-11-28">2018</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Across these articles, 14 demographic attributes were successfully inferred from digital traces; the most studied included gender, age, location, and political orientation.  ...  In the present paper we report a systematic review that synthesises current evidence on predicting demographic attributes from online digital traces.  ...  Mining User Home Location and Gender from Flickr Tags. Fourth Int AAAI Conf Weblogs Soc Media. 2010; doi:papers3://publication/uuid/7DB41A8E-EE73-4B31-AD14-A9EE2D3C668A 17. Ardehaly EM, Culotta A.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0207112">doi:10.1371/journal.pone.0207112</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30485305">pmid:30485305</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6261568/">pmcid:PMC6261568</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jo2ycsiit5a23drbbpytifn36q">fatcat:jo2ycsiit5a23drbbpytifn36q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190223172303/http://pdfs.semanticscholar.org/5360/20f2c5bc5611140fb4da0da3de7effb599b4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/53/60/536020f2c5bc5611140fb4da0da3de7effb599b4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0207112"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261568" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges

Ayesha Rashid, Muhammad Shoaib Farooq, Adnan Abid, Tariq Umer, Ali Kashif Bashir, Yousaf Bin Zikria
<span title="2021-04-05">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nnhntxrl5vg2zjrahf7teas5oy" style="color: black;">Complex &amp; Intelligent Systems</a> </i> &nbsp;
This area has been consistently getting pertinence with an increasing trend for online purchasing. Noticeable research work has been accomplished in this area for the last two decades.  ...  AbstractIntention mining is a promising research area of data mining that aims to determine end-users' intentions from their past activities stored in the logs, which note users' interaction with the system  ...  [112] have used deep neural network techniques to extract social media intention from social media logs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40747-021-00342-9">doi:10.1007/s40747-021-00342-9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ak3y4ao2sbffjd5b3rbttidvjy">fatcat:ak3y4ao2sbffjd5b3rbttidvjy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718094033/https://link.springer.com/content/pdf/10.1007/s40747-021-00342-9.pdf?error=cookies_not_supported&amp;code=19f06a9a-c88e-4254-834e-aba39b6eb392" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/73/2973424093e08f28b86da1579489522830e00cbc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40747-021-00342-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Modeling the impact of lifestyle on health at scale

Adam Sadilek, Henry Kautz
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the sixth ACM international conference on Web search and data mining - WSDM &#39;13</a> </i> &nbsp;
Instead of relying on surveys, we apply scalable machine learning techniques to noisy data mined from online social media and infer the health state of any given person in an automated way.  ...  This paper explores to what extent online social media can be used to quantify and predict the impact of a large collection of environmental and lifestyle factors on our health.  ...  For example, people's home locations or social encounters are no longer drawn from coarse distributions, but rather inferred from online activities.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2433396.2433476">doi:10.1145/2433396.2433476</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/SadilekK13.html">dblp:conf/wsdm/SadilekK13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5jbqi4nqeva7bd4s6wcg4jawge">fatcat:5jbqi4nqeva7bd4s6wcg4jawge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808215952/http://www.cs.rochester.edu/%7Esadilek/publications/Sadilek-Kautz_Modeling-the-Impact-of-Lifestyle-on-Health-at-Scale_WSDM-13.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e0/36/e036c3ab07cc64f971b2b2ad5fc9626f37c56b95.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2433396.2433476"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Tracking COVID-19 using online search

Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox
<span title="2021-02-08">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uwry6ckzz5bt5kepcbpuulmtqy" style="color: black;">npj Digital Medicine</a> </i> &nbsp;
AbstractPrevious research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour.  ...  We first develop unsupervised modelling techniques based on associated symptom categories identified by the United Kingdom's National Health Service and Public Health England.  ...  The online search and RCGP swabbing scheme data sets that support the findings of this study are available from Google and RCGP/PHE, respectively.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41746-021-00384-w">doi:10.1038/s41746-021-00384-w</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33558607">pmid:33558607</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dqcx6qaea5aq5izcqbkgf6izge">fatcat:dqcx6qaea5aq5izcqbkgf6izge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429061730/https://www.nature.com/articles/s41746-021-00384-w.pdf?error=cookies_not_supported&amp;code=f5a48899-22f8-4a30-a957-3f356ceadec5" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5f/2c/5f2c2cdd0e5a90d1af79dfcb3c8d51efa5cbe545.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41746-021-00384-w"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Monitoring Cyber SentiHate Social Behavior during COVID-19 Pandemic in North America

Fatimah Alzamzami, Abdulmotaleb El Saddik
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Recently, topic models have been increasingly used to explore and infer insights from social media data [54] - [56] .  ...  EXPERIMENT DESIGN & EVALUATION PROTOCOL We evaluate the validity of the proposed framework in inferring and interpreting topics of online social media data, as well as in analyzing online social behaviors  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3088410">doi:10.1109/access.2021.3088410</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dl32i5vlovevvcokm6sbdp6ev4">fatcat:dl32i5vlovevvcokm6sbdp6ev4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718020945/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09452177.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/c1/9dc12fafc01e940e8e344b23777516c7a436ad3a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3088410"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Unsupervised event exploration from social text streams

Deyu Zhou, Liangyu Chen, Xuan Zhang, Yulan He
<span title="2017-08-19">2017</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lm7wouyrqzbgvenkjxkrtwootu" style="color: black;">Intelligent Data Analysis</a> </i> &nbsp;
Social media provides unprecedented opportunities for people to disseminate information and share their opinions and views online.  ...  Extracting events from social media platforms such as Twitter could help in understanding what is being discussed.  ...  Zhou et al. / Unsupervised event exploration from social text streams  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/ida-160048">doi:10.3233/ida-160048</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ewu36cyh5bgidk6jp7gjn4d7km">fatcat:ewu36cyh5bgidk6jp7gjn4d7km</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180718224107/http://publications.aston.ac.uk/31544/1/Unsupervised_event_exploration_from_social.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/53/9f53c3b6b996cc0a80abeddd1aefd75f6d42b038.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/ida-160048"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Data-driven Computational Social Science: A Survey

Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
<span title="">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cavahjaftnesld6inayukddac4" style="color: black;">Big Data Research</a> </i> &nbsp;
As a result, utilizing various data to reveal issues derived from computational social science area has attracted more and more attentions.  ...  With the aids of the advanced research techniques, various kinds of data from diverse areas can be acquired nowadays, and they can help us look into social problems with a new eye.  ...  Information gathered from online social media can be used to analyze the physiological features of individuals, including gender, age, race, etc. Park et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.bdr.2020.100145">doi:10.1016/j.bdr.2020.100145</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jazh5b3itfgmvh4pn37l4v5m7y">fatcat:jazh5b3itfgmvh4pn37l4v5m7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908121051/https://arxiv.org/pdf/2008.12372v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.bdr.2020.100145"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Investigating transportation research based on social media analysis: a systematic mapping review

Tasnim M. A. Zayet, Maizatul Akmar Ismail, Kasturi Dewi Varathan, Rafidah M. D. Noor, Hui Na Chua, Angela Lee, Yeh Ching Low, Sheena Kaur Jaswant Singh
<span title="2021-06-24">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ue2erniajgxfcur7sdtxxlr3y" style="color: black;">Scientometrics</a> </i> &nbsp;
A systematic review was conducted in the field of transportation-related research based on social media analysis (TRR-SMA) from the years between 2008 and 2018; 74 papers were identified from an initial  ...  Social media is a pool of users' thoughts, opinions, surrounding environment, situation and others.  ...  In addition to time, users' posts will be tagged with the location if they activate the geotagging feature. Online Resource 1 shows the used social media data by the researchers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11192-021-04046-2">doi:10.1007/s11192-021-04046-2</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34188335">pmid:34188335</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8222706/">pmcid:PMC8222706</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3spwp7g7vnexbdp5zcw7vdxa3i">fatcat:3spwp7g7vnexbdp5zcw7vdxa3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717182637/https://link.springer.com/content/pdf/10.1007/s11192-021-04046-2.pdf?error=cookies_not_supported&amp;code=5901ba47-ff8d-4b48-8614-e69ee387fd77" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/01/7c013fd23d576f85d28691c2f682e0e952e515ee.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11192-021-04046-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222706" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Mobile Contextual Recommender System for Online Social Media

Chao Wu, Yaoxue Zhang, Jia Jia, Wenwu Zhu
<span title="2017-12-01">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m6d55yg2wncgnomdnlvb6ofsmq" style="color: black;">IEEE Transactions on Mobile Computing</a> </i> &nbsp;
Specifically, we design a machine learning mechanism to infer the affective pulse of online social media.  ...  By means of large-scale trace-driven measurements over mobile Twitter traces from users, we reveal the significance of affective features in shaping users' social media behaviors.  ...  How does Location Feature Impact? Kaleido is a first step towards recommending the social media for mobile users.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmc.2017.2694830">doi:10.1109/tmc.2017.2694830</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dbw3zyqbdja7led4fazfaxzc4y">fatcat:dbw3zyqbdja7led4fazfaxzc4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190307115454/http://pdfs.semanticscholar.org/dfde/61209c51465af52e99afb8358a5b30a4075b.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/de/dfde61209c51465af52e99afb8358a5b30a4075b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmc.2017.2694830"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Tracking COVID-19 using online search [article]

Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox
<span title="2021-02-10">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour.  ...  We first develop unsupervised modelling techniques based on associated symptom categories identified by the United Kingdom's National Health Service and Public Health England.  ...  ., and I.J.C would like to acknowledge all levels of support from the EPSRC projects "EPSRC IRC in Early-Warning Sensing Systems for Infectious Diseases" (EP/K031953/1) and "i-sense: EPSRC IRC in Agile  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.08086v11">arXiv:2003.08086v11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v37lhteuuvbytbbmyn3nrhqsu4">fatcat:v37lhteuuvbytbbmyn3nrhqsu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210214183123/https://arxiv.org/pdf/2003.08086v11.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/20/55/2055e0e23c14f313a8b50dcb881e597495379c68.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.08086v11" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19 [article]

Zhi Wen, Guido Powell, Imane Chafi, David Buckeridge, Yue Li
<span title="2021-06-10">2021</span> <i title="Cold Spring Harbor Laboratory"> medRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Building on topic modeling, our method characterizes online government reports and media articles related to COVID-19 as a mixture of latent topics.  ...  At stage 3, we supply the inferred country-level temporal topics from the DETM to the pretrained document-level NPI classifier to predict country-level NPIs.  ...  These inferred topics provide a rich foundation against which we can characterize online media reports about COVID-19.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.06.10.21257749">doi:10.1101/2021.06.10.21257749</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jfma7hbpnrbndajq2fpheznnfy">fatcat:jfma7hbpnrbndajq2fpheznnfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715163436/https://www.medrxiv.org/content/medrxiv/early/2021/06/10/2021.06.10.21257749.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e6/e1/e6e185301aa24e420c28f8e6247cfa9075971e3c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.06.10.21257749"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> medrxiv.org </button> </a>

Unraveling Social Perceptions Behaviors towards Migrants on Twitter [article]

Aparup Khatua, Wolfgang Nejdl
<span title="2021-12-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We draw insights from the social psychology literature to identify two facets of Twitter deliberations about migrants, i.e., perceptions about migrants and behaviors towards mi-grants.  ...  ., solidarity and animosity) of social media users towards migrants. We have employed unsuper-vised and supervised approaches to identify these perceptions and behaviors.  ...  Detecting abusive online languages on social media platforms is a challenging task (Davidson et al. 2017; Waseem and Hovy 2016) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.06642v1">arXiv:2112.06642v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kdcb4nv4ujdytifs6wb2jjxygi">fatcat:kdcb4nv4ujdytifs6wb2jjxygi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211215010919/https://arxiv.org/ftp/arxiv/papers/2112/2112.06642.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/5f/c15f9010f12d65e2979296b66759bba9bab05c24.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.06642v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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