Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- surveyNovember 2022
Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey
ACM Computing Surveys (CSUR), Volume 55, Issue 4Article No.: 77, Pages 1–38https://doi.org/10.1145/3524498The rise of social media platforms provides an unbounded, infinitely rich source of aggregate knowledge of the world around us, both historic and real-time, from a human perspective. The greatest challenge we face is how to process and understand this raw ...
- short-paperNovember 2022
Addressing the location A/B problem on Twitter: the next generation location inference research
LocalRec '22: Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and GeoadvertisingNovember 2022, Article No.: 4, Pages 1–4https://doi.org/10.1145/3557992.3565989Often, global and regional topics on Twitter across multiple thematic areas, such as disasters, politics, protests, entertainment, epidemics, literature, travel, culture, weather, etc., witness an unprecedented level of exchange of conversations. An ...
- research-articleNovember 2022
Twitter conversations predict the daily confirmed COVID-19 cases
Applied Soft Computing (APSC), Volume 129, Issue CNov 2022https://doi.org/10.1016/j.asoc.2022.109603AbstractAs of writing this paper, COVID-19 (Coronavirus disease 2019) has spread to more than 220 countries and territories. Following the outbreak, the pandemic’s seriousness has made people more active on social media, especially on the ...
Highlights- A large-scale COVID-19 geotagged tweets dataset, MegaGeoCOV, is curated and released.
- research-articleOctober 2022
Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter
- Prabhsimran Singh,
- Surleen Kaur,
- Abdullah M. Baabdullah,
- Yogesh K. Dwivedi,
- Sandeep Sharma,
- Ravinder Singh Sawhney,
- Ronnie Das
Information Systems Frontiers (KLU-ISFI), Volume 25, Issue 1Feb 2023, Pages 199–219https://doi.org/10.1007/s10796-022-10348-4AbstractAnthropogenic activities over the past few decades have led to increased vulnerability of environmental and ecological stability on this planet. Accelerated climate change is one such subset of the environmental problems that threatens the very ...
- research-articleSeptember 2021
A novel domain and event adaptive tweet augmentation approach for enhancing the classification of crisis related tweets
Data & Knowledge Engineering (DAKE), Volume 135, Issue CSep 2021https://doi.org/10.1016/j.datak.2021.101913AbstractOne of the purposes of detecting the crisis related tweets is the ability to single out the tweets that provide information about the helps needed and offered. Classification of such tweets is difficult because of the unavailability of ...
- research-articleJuly 2021
A customisable pipeline for the semi-automated discovery of online activists and social campaigns on Twitter
World Wide Web (WWWJ), Volume 24, Issue 4Jul 2021, Pages 1235–1271https://doi.org/10.1007/s11280-021-00887-2AbstractSubstantial research is available on detecting influencers on social media platforms. In contrast, comparatively few studies exists on the role of online activists, defined informally as users who actively participate in socially-minded online ...
- research-articleApril 2021
Sentimental Analytics on Indian Big Billion Day of Flip Kart and Amazon
AbstractMillennials are raised in a gadget-filled and highly networked marketing environment and received a great deal of attention from the marketers for being very optimistic and open to different digital products. Millennials look not for just products ...
- ArticleApril 2021
A New Approach for Measuring the Influence of Users on Twitter
Intelligent Information and Database SystemsApr 2021, Pages 351–361https://doi.org/10.1007/978-3-030-73280-6_28AbstractSocial networks are increasingly proving to be the core of today’s web. Identifying the influence on social networks is an area of research that presents many open issues. The challenge is finding ways that can effectively calculate and classify ...
- research-articleJanuary 2021
Enhanced classification of crisis related tweets using deep learning models and word embeddings
International Journal of Web Engineering and Technology (IJWET), Volume 16, Issue 22021, Pages 158–186https://doi.org/10.1504/ijwet.2021.117773Social media plays a crucial role during emergency events by preserving intelligence about the current condition, which may save lives. Twitter is one such powerful social media platform where information about the situational awareness is directly posted ...
- ArticleApril 2020
Predicting Information Diffusion on Twitter a Deep Learning Neural Network Model Using Custom Weighted Word Features
Responsible Design, Implementation and Use of Information and Communication TechnologyApr 2020, Pages 456–468https://doi.org/10.1007/978-3-030-44999-5_38AbstractResearchers have been experimenting with various drivers of the diffusion rate like sentiment analysis which only considers the presence of certain words in a tweet. We theorize that the diffusion of particular content on Twitter can be driven by ...
- research-articleNovember 2019
Experience: Managing Misinformation in Social Media—Insights for Policymakers from Twitter Analytics
Journal of Data and Information Quality (JDIQ), Volume 12, Issue 1Article No.: 6, Pages 1–18https://doi.org/10.1145/3341107Governance of misinformation is a serious concern in social media platforms. Based on experiences gathered from different case studies, we offer insights for the policymakers on managing misinformation in social media. These platforms are widely used ...
- ArticleJune 2019
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter Users
AbstractOn social media platforms and Twitter in particular, specific classes of users such as influencers have been given satisfactory operational definitions in terms of network and content metrics. Others, for instance online activists, are not less ...
- articleJune 2018
Detection of Spammers in Twitter marketing: A Hybrid Approach Using Social Media Analytics and Bio Inspired Computing
Information Systems Frontiers (KLU-ISFI), Volume 20, Issue 3June 2018, Pages 515–530https://doi.org/10.1007/s10796-017-9805-8Customer engagement is drastically improved through Web 2.0 technologies, especially social media platforms like Twitter. These platforms are often used by organizations for marketing, of which creation of numerous spam profiles for content promotion is ...
- research-articleFebruary 2018
Search engine marketing is not all gold
International Journal of Information Management: The Journal for Information Professionals (IJIM), Volume 38, Issue 1February 2018, Pages 107–116https://doi.org/10.1016/j.ijinfomgt.2017.07.005Digital marketing is often detrimental if it is done by unskilled service providers.The hyped services of search engine marketing are not as successful as they seem to be.SEM services provided by small organizations and freelancers are generally ...
- ArticleNovember 2017
The Untold Story of USA Presidential Elections in 2016 - Insights from Twitter Analytics
Digital Nations – Smart Cities, Innovation, and SustainabilityNov 2017, Pages 339–350https://doi.org/10.1007/978-3-319-68557-1_30AbstractElections are the most critical events for any nation and paves the path for future growth and prosperity of the economy. Due to its high impact, a lot of discussions take place among all stakeholders in social media. In this study, we attempt to ...
- research-articleApril 2017
T-Hoarder
Journal of Network and Computer Applications (JNCA), Volume 83, Issue CApril 2017, Pages 28–39https://doi.org/10.1016/j.jnca.2017.01.029With the eruption of online social networks, like Twitter and Facebook, a series of new APIs have appeared to allow access to the data that these new sources of information accumulate. One of most popular online social networks is the micro-blogging ...
- research-articleMarch 2017
Influence-based Twitter browsing with NavigTweet
Information Systems (ISYS), Volume 64, Issue CMarch 2017, Pages 119–131https://doi.org/10.1016/j.is.2016.07.012Directed links in social media determine the flow of information and, hence, indicate a user's influence. This paper proposes a novel visual framework to explore Twitter's 'Who Follows Who' relationships, by browsing the friends' network to identify key ...
- research-articleDecember 2015
A survey of location inference techniques on Twitter
Journal of Information Science (JIPP), Volume 41, Issue 612 2015, Pages 855–864https://doi.org/10.1177/0165551515602847The increasing popularity of the social networking service, Twitter, has made it more involved in day-to-day communications, strengthening social relationships and information dissemination. Conversations on Twitter are now being explored as indicators ...
- research-articleMarch 2015
"Twitter Archeology" of learning analytics and knowledge conferences
LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And KnowledgeMarch 2015, Pages 340–349https://doi.org/10.1145/2723576.2723584The goal of the present study was to uncover new insights about the learning analytics community by analyzing Twitter archives from the past four Learning Analytics and Knowledge (LAK) conferences. Through descriptive analysis, interaction network ...