scholarly journals Challenges of event detection from social media streams

2018 ◽  
Vol 7 (2.15) ◽  
pp. 72
Author(s):  
Wafa Zubair Al-Dyani ◽  
Adnan Hussein Yahya ◽  
Farzana Kabir Ahmad
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Event Detection ◽  
Text Data ◽  
Wide Range ◽  
Noise Data ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
High Level ◽  
Privacy Issues

The area of Event Detection (ED) has attracted researchers' attention over the last few years because of the wide use of social media.  Many studies have examined the problem of ED in various social media platforms, like Twitter, Facebook, YouTube, etc. The ED task for social networks involves many issues, including the processing of huge volumes of data with a high level of noise, data collection and privacy issues, etc.  Hence, this article discusses and presents the wide range of challenges encountered in the ED process from unstructured text data for the most popular Social Networks (SNs), such as Facebook and Twitter. The main goal is to aid the researchers to understand the main challenges and to discuss the future directions in the ED area. 

scholarly journals Social Media in Bosnia and Herzegovina

2018 ◽  
Vol 7 (3) ◽  
pp. 1821
Author(s):  
Zvezdan Stojanović
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Bosnia And Herzegovina ◽  
Telecommunication Infrastructure ◽  
State Administration ◽  
Wide Range ◽  
Tourism Education ◽  
Education Marketing ◽  
Use Of Social Media ◽  
The Impact

The use of social media has a wide range of applications in different areas of life. Accordingly, the impact of social networks in everyday life is growing. Bosnia and Herzegovina has a solid telecommunication infrastructure, which is of great importance for the development of social networks. This paper will show the application of social networks in areas such as tourism, education, marketing, politics and local and state administration bodies in Bosnia and Herzegovina.  

Being/becoming professional online: Wayfinding through networked practices and digital experiences

2020 ◽  
pp. 146144482090244
Author(s):  
Laura A. Pasquini ◽  
Paul William Eaton
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Postsecondary Education ◽  
Reputation Management ◽  
Digital Networks ◽  
Structured Interviews ◽  
Self Directed Learning ◽  
Educational Professionals ◽  
Social Media Platforms ◽  
Use Of Social Media

Social media platforms and digital networks have enabled professionals to communicate with colleagues, disseminate information, and co-create knowledge. As the Internet has grown up and social networks have scaled, there is an increased awareness of the occupational impact of being online. Prior research in postsecondary education has examined the structure of social networks, imagined audiences online, openness of practice, and informational/communication patterns of academics. We conducted 92 semi-structured interviews with higher educational professionals beyond the faculty/academic role to understand motivations and challenges online. Participants shared how they navigate digital identity and contribute to networked practices in professional online communities. Multiple factors influence and impact the use of social media over time, specifically as professionals reflect on their digital presence, network affiliations, and informal learning opportunities. We identify seven networked practices: kinship in community, self-directed learning, digital norms, navigating context collapse, career advancement, reputation management, and risk versus reward assessment.

Citizen Engagement and Social Media

2019 ◽  
Vol 10 (2) ◽  
pp. 24-43
Author(s):  
Rodrigo Sandoval-Almazan ◽  
Juan Carlos Montes de Oca Lopez
Keyword(s):  
Social Media ◽  
Political Campaigns ◽  
Election Campaigns ◽  
Weekly Basis ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
High Level ◽  
Media Data

Social media has transformed election campaigns around the world. While it is difficult to determine to what extent social media influence voters' decisions, there is no doubt that social media platforms impact on candidate advertising and public debate during elections. This research, the methodological formulation of which is based on a case study, seeks to investigate the use of social media during political campaigns to collect signatures of support. In the elections of 2018, aspiring candidates for presidential election required a certain number of signatures of support in order to register as official candidates. We collected social media data on a weekly basis from the Twitter, Facebook, and YouTube accounts of seven candidates and contrasted this data with the number of signatures validated by the electoral authority. We found no relationship between the level of support received and the use of social media in the case of any of the candidates. However, we observed candidates who did achieve the required number of signatures and who did receive official presidential candidate status as a result of their high level of visibility. This research contributes methodologically to the current literature and provides empirical evidence regarding independent candidates in Mexico.

Citizen Engagement and Social Media

2022 ◽  
pp. 945-966
Author(s):  
Rodrigo Sandoval-Almazan ◽  
Juan Carlos Montes de Oca Lopez
Keyword(s):  
Social Media ◽  
Presidential Election ◽  
Political Campaigns ◽  
Election Campaigns ◽  
The World ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
High Level ◽  
Media Data

Social media has transformed election campaigns around the world. While it is difficult to determine to what extent social media influence voters' decisions, there is no doubt that social media platforms impact on candidate advertising and public debate during elections. This research, the methodological formulation of which is based on a case study, seeks to investigate the use of social media during political campaigns to collect signatures of support. In the elections of 2018, aspiring candidates for presidential election required a certain number of signatures of support in order to register as official candidates. We collected social media data on a weekly basis from the Twitter, Facebook, and YouTube accounts of seven candidates and contrasted this data with the number of signatures validated by the electoral authority. We found no relationship between the level of support received and the use of social media in the case of any of the candidates. However, we observed candidates who did achieve the required number of signatures and who did receive official presidential candidate status as a result of their high level of visibility. This research contributes methodologically to the current literature and provides empirical evidence regarding independent candidates in Mexico.

scholarly journals Otolaryngology Societies on Popular Social Media Platforms

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Inna A. Husain
Keyword(s):  
Social Media ◽  
American Academy ◽  
Head And Neck ◽  
Neck Surgery ◽  
The Public ◽  
Online Engagement ◽  
Wide Range ◽  
Facial Plastic ◽  
Social Media Platforms ◽  
Use Of Social Media

Objective: The objective of this study is to investigate the use of social media, including Twitter, Facebook, Instagram, YouTube, and TikTok amongst otolaryngology societies. Study Design: Online assessment of social media pages and engagement amongst otolaryngology societies. Setting: Otolaryngology societies and their online engagement with the general community as well as those in the field of otolaryngology. Methods: A list of otolaryngology societies affiliated with Combined Otolaryngology Spring Meetings (COSM)and American Academy of Otolaryngology – Head and Neck Surgery (AAO-HNSF) were compiled. Two reviewers independently accessed popular social media platforms for societal accounts and their online engagement. Results: There is a wide range of social media participation amongst societies. The American Academy of Facial Plastic and Reconstructive Surgery (AAFPRS) has the highest numbers of followers on Twitter, Facebook, and Instagram. The highest follower count on Twitter and Facebook was followed by the American Otological Society (AOS). The American Laryngological Association had no social media accounts. On YouTube, The American Head and Neck Society (AHNS) had the highest amount of engagement. Conclusion: Social media usage and a robust online presence can provide patients a source of reliable healthcare information, educational opportunities to residents, and may be used for recruitment. Otolaryngology societies should consider improving their social media presence as a way to educate the public, patients, and future recruits.

#biteme: Considering the Potential Influence of Social Media on In-Water Encounters with Marine Wildlife

2020 ◽  
Vol 15 (3) ◽  
pp. 249-258 ◽  
Author(s):  
Chantal D. Pagel ◽  
Mark Orams ◽  
Michael Lück
Keyword(s):  
Social Media ◽  
Open Water ◽  
Close Encounters ◽  
Wildlife Tourism ◽  
Tourism Product ◽  
Wide Range ◽  
Social Media Platforms ◽  
Tourism Activity ◽  
Use Of Social Media ◽  
Marine Wildlife

Over the past three decades, interacting with wildlife as a tourism activity has grown significantly and has transformed from a relatively rare experience into a mainstream tourism product. Tourism opportunities to watch, photograph, and otherwise interact with animals in their natural environment have grown to include a range of species and settings, including in the sea. Close encounters with marine wildlife are facilitated by a wide range of commercial operators, and many include and promote a strong adventure component. This article provides a consideration of the issues of risk and the emerging role of the use of social media in marine wildlife tourism experiences. While the concept of ecotourism has been widely explored in wildlife tourism research, the inherited risk involved in these activities has received little attention. This is particularly the case regarding interactions with potentially dangerous wildlife in open-water environments. This aspect warrants exploration in the context of the growth of wildlife photography/videography and sharing via social media platforms, which frequently display close encounters with animals in dangerous scenarios for both people and wildlife involved.

scholarly journals Embed2Detect: temporally clustered embedded words for event detection in social media

2021 ◽  
Author(s):  
Hansi Hettiarachchi ◽  
Mariam Adedoyin-Olowe ◽  
Jagdev Bhogal ◽  
Mohamed Medhat Gaber
Keyword(s):  
Social Media ◽  
Event Detection ◽  
High Volume ◽  
Detection Methods ◽  
Word Embeddings ◽  
Agglomerative Clustering ◽  
Data Set ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Media Data

AbstractSocial media is becoming a primary medium to discuss what is happening around the world. Therefore, the data generated by social media platforms contain rich information which describes the ongoing events. Further, the timeliness associated with these data is capable of facilitating immediate insights. However, considering the dynamic nature and high volume of data production in social media data streams, it is impractical to filter the events manually and therefore, automated event detection mechanisms are invaluable to the community. Apart from a few notable exceptions, most previous research on automated event detection have focused only on statistical and syntactical features in data and lacked the involvement of underlying semantics which are important for effective information retrieval from text since they represent the connections between words and their meanings. In this paper, we propose a novel method termed Embed2Detect for event detection in social media by combining the characteristics in word embeddings and hierarchical agglomerative clustering. The adoption of word embeddings gives Embed2Detect the capability to incorporate powerful semantical features into event detection and overcome a major limitation inherent in previous approaches. We experimented our method on two recent real social media data sets which represent the sports and political domain and also compared the results to several state-of-the-art methods. The obtained results show that Embed2Detect is capable of effective and efficient event detection and it outperforms the recent event detection methods. For the sports data set, Embed2Detect achieved 27% higher F-measure than the best-performed baseline and for the political data set, it was an increase of 29%.

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

Countering Threats

2014 ◽  
Vol 4 (2) ◽  
pp. 35-45
Author(s):  
Margarita Jaitner
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Ad Hoc ◽  
Physical Violence ◽  
Deep Understanding ◽  
Current Status ◽  
Mobile Web ◽  
Use Of Social Media ◽  
Legal Frameworks ◽  
High Level

The increased adoption of social media has presented security and law enforcement authorities with significant new challenges. For example, the Swedish Security Service (SÄPO) asserts that a large proportion of radicalization takes place in open fora online. Still, approaches to contain social media-driven challenges to security, particularly in democratic societies, remain little explored. Nonetheless, this type of knowledge may become relevant in European countries in the near future: Amongst other factors, the challenging economic situation has resulted in increased public discontent leading to emergence or manifestation of groups that seek to challenge the existing policies by almost any means. Use of social media multiplies the number of vectors that need law enforcement attention. First, a high level of social media adaption allows groups to reach and attract a wider audience. Unlike previously, many groups today consist of a large but very loosely connected network. This lack of cohesion can present a challenge for authorities, to identify emerging key actors and assess threat levels. Second, a high level of mobile web penetration has allowed groups to ad-hoc organize, amend plans and redirect physical activities. Third, the tool social media is as not exclusive to potential perpetrators of unlawful action, but is as well available to law enforcement authorities. Yet, efficient utilization of social media requires a deep understanding of its nature and a well-crafted, comprehensive approach. Acknowledging the broad functionality of social media, as well as its current status in the society, this article describes a model process for security authorities and law enforcement work with social media in general and security services work in particular. The process is cyclic and largely modular. It provides a set of goals and tasks for each stage of a potential event, rather than fixed activities. This allows authorities to adapt the process to individual legal frameworks and organization setups. The approach behind the process is holistic where social media is regarded as both source and destination of information. Ultimately, the process aims at efficiently and effectively mitigating the risk of virtual and physical violence.

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