Enhanced Event Detection in Twitter Through Feature Analysis

2019 ◽  
Vol 14 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Dharini Ramachandran. ◽  
Parvathi R.
Keyword(s):  
Social Media ◽  
Event Detection ◽  
Situational Awareness ◽  
Crisis Response ◽  
Rescue Operation ◽  
Digital Era ◽  
Digital Document ◽  
Rich Information ◽  
Improved Performance ◽  
The Many

The Digital era has the benefits in unearthing a large amount of imperative material. One such digital document is social media data, which when processed can give rise to information which can be helpful to our society. One of the many things that we can unearth from social media is events. Twitter is a very popular microblog that encompasses fruitful and rich information on real world events and popular topics. Event detection in view of situational awareness for crisis response is an important need of the current world. The identification of tweets comprising information that may assist in help and rescue operation is crucial. Most pertinent features for this process of identification are studied and the inferences are given in this article. The efficiency and practicality of the features are discussed here. This article also presents the results of experimentation carried out to assess the most relevant combination of features for improved performance in event detection from Twitter.

scholarly journals Democracy Today: Assessing Democracy Phenomenon in Indonesia

POLITEA ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 75
Author(s):  
Ratna Istriyani
Keyword(s):  
Social Media ◽  
Young People ◽  
New Media ◽  
Interesting Phenomenon ◽  
Digital Era ◽  
Information And Communication ◽  
History Of ◽  
The Government ◽  
Use Of Social Media ◽  
The Many

<p>Democracy as a political and the government system has demonstrated its existence in the history of the world. This existence can be seen from the many countries that implement it, especially Indonesia. The democratic process becomes an interesting phenomenon because it cannot be separated from the dynamics of the community itself.</p><p>At present the community has entered the digital era, that the utilization of information and communication technology are massive. One phenomenon of concern is the widespread use of social media. The reality of the utilization of social media not only showed the trend of community interaction and communication but also the trend of political participation which correlates with the sustainability of democracy in Indonesia. At least, it has happened in the last decades, where political figures have been using social media as a channel to construct personal image. On the other hand, social media for civil society is as a new media (alternative media) in channeling aspirations, support, and even criticism to political and government figures.</p><p>Social media trends also cannot be separated from the figure of young people as massive users of these contemporary products. Even social media is a preference for young people to participate in upholding democratization in Indonesia. It can be seen from the posts or their responses to the socio-political conditions in this country through their account lines and the number of comments they wrote on the accounts of a number of political and government figures.</p><p><strong><em>Keywords: democracy, social media, youth. </em></strong></p>

scholarly journals Understanding social media beyond text: a reliable practice on Twitter

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Qixuan Hou ◽  
Meng Han ◽  
Feiyang Qu ◽  
Jing Selena He
Keyword(s):  
Social Media ◽  
Event Detection ◽  
High Volume ◽  
Time Data ◽  
Positive Events ◽  
Image Mapping ◽  
Related Text ◽  
Rich Information ◽  
The Rich ◽  
Textual Content

AbstractSocial media provides high-volume and real-time data, which has been broadly used in diverse applications in sales, marketing, disaster management, health surveillance, etc. However, distinguishing between noises and reliable information can be challenging, since social media, a user-generated content system, has a great number of users who update massive information every second. The rich information is not only included in the short textual content but also embedded in the images and videos. In this paper, we introduce an effective and efficient framework for event detection with social media data. The framework integrates both textual and imagery content in the hope to fully utilize the information. The approach has been demonstrated to be more accurate than the text-only approach by removing 58 (66.7%) false-positive events. The precision of event detection is improved by 6.5%. Besides, based on our analysis, we also look into the content of these images to further explore the space of social media studies. Finally, the closely related text and image from social media offer us a valuable text-image mapping, which can enable knowledge transfer between two media types.

scholarly journals Influencer Marketing in Digital Era: Does It Really Works?

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Daniel Hermawan
Keyword(s):  
Social Media ◽  
Qualitative Methods ◽  
Service Marketing ◽  
Communication Medium ◽  
Digital Era ◽  
Product Service ◽  
Marketing Activities ◽  
Information Channels ◽  
The Many

The increasing number of social media users creates new opportunities in the marketing world. Marketing, which initially focused on the product (product-oriented), now has to be transformed into consumer-oriented marketing with many information channels owned by consumers. Consumers are becoming more critical of the products/services offered by companies with the many choices they have. The existence of influencers is a bridge or communication medium that connects companies with consumers in the digital era. Through personality, authenticity, and honesty given by influencers, consumers are expected to be more attached and aware of the existence of a brand. Not infrequently, companies take advantage of influencers in product/service marketing programs in introducing a brand. Influencers become digital advocates who represent brands through endorsement programs. This research will discuss (1) the phenomenon of influencer marketing in the digital era, (2) the types of influencers and the characteristics of consumers who follow them, (3) the use of influencers in marketing activities in the digital era. The study was conducted through Pentad analysis with qualitative methods. The study found that influencer marketing can be an effective marketing method by leveraging the influencer's charisma, personality, attitude, and lifestyle in representing the brand.

scholarly journals Social Media for Sensing: Do Tweets Represent Events at Geo-Tagged Locations?

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Morteza Karimzadeh
Keyword(s):  
Social Media ◽  
Public Discourse ◽  
Information Science ◽  
Situational Awareness ◽  
Geographic Information Science ◽  
Crisis Response ◽  
Design Of Algorithms ◽  
The Public ◽  
Election Prediction ◽  
Twitter Users

<p><strong>Abstract.</strong> It is difficult to quantify how &amp;ndash; and to what extent &amp;ndash; the public engages with events in other countries. Twitter users all over the globe post more than 500 million tweets every day. They also discuss places in their tweets. Therefore, Twitter provides a lens through which geographic research can investigate public discourse as it relates to place. Further, many research studies use geo-tagged posts on Twitter (and social media in general) to sense the society in particular locations (according to geo-tags) for various purposes that may need a “local sense” such as sentiment analysis, situational awareness for crisis response, election prediction, or targeted advertising. However, it is unclear to what extent the online discourse by users are about local events versus events in other locations or countries.</p><p>In this pilot study, we visualize and characterize relations between places mentioned in Twitter posts and places where users live to identify whether Twitter users in different countries engage more with domestic or international (or transnational) events. We also visualize the extent to which places in other countries are being discussed through online platforms/social media. The results have implications for the design of algorithms in geographic information science attempting to automatically geolocate places mentioned in tweets for use in sentiment or spatial analysis, situational awareness, and advertisement. Additionally, most place names are ambiguous and refer to more than one location. For example, London can refer to London, Texas or London in England. Our analysis gauge whether Twitter users’ profile locations can be used to disambiguate places that are mentioned in their tweets.</p>

scholarly journals Understanding Social Media Beyond Text: A Reliable Practice on Twitter

2020 ◽  
Author(s):  
Qixuan Hou ◽  
Meng Han ◽  
Feiyang Qu ◽  
Jing (Selena) He
Keyword(s):  
Social Media ◽  
Event Detection ◽  
High Volume ◽  
Time Data ◽  
Positive Events ◽  
Image Mapping ◽  
Related Text ◽  
Rich Information ◽  
The Rich ◽  
Textual Content

Abstract Social media provides high-volume and real-time data, which has been broadly used in diverse applications in sales, marketing, disaster management, health surveillance, etc. However, distinguishing between noises and reliable information can be challenging, since social media, a user-generated content system, has a great number of users who update massive information every second. The rich information is not only included in the short textual content but also embedded in the images and videos. In this paper, we introduce an effective and efficient framework for event detection with social media data. The framework integrates both textual and imagery content in the hope to fully utilize the information. The approach has been demonstrated to be more accurate than the text-only approach by removing 58 (66.7%) false-positive events. The precision of event detection is improved by 6.5%. Besides, based on our analysis, we also look into the content of these images to further explore the space of social media studies. Finally, the closely related text and image from social media offer us valuable text-image mapping, which can enable knowledge transfer between two media types.

PERAN DIGITAL MARKETING DALAM EKSISTENSI BISNIS KULINER SEBLAK JELETET MURNI

2016 ◽  
Vol 1 (2) ◽  
pp. 133-144
Author(s):  
Nadya Nadya
Keyword(s):  
Social Media ◽  
Consumer Behavior ◽  
Marketing Strategy ◽  
Marketing Strategies ◽  
Digital Marketing ◽  
Social Media Marketing ◽  
Digital Era ◽  
Marketing Social ◽  
Technological Developments ◽  
Product Sales

Technological developments have significantly changed the way how a business works, especially the culinary business named Seblak Jeletet Murni, that has located in Jakarta. This business is still relatively new, but consumers continue moldy and this spicy culinary product sales have been continue to increase. This phenomenon is a result of business which has entered the digital era in social media. Marketing of this product is not done intensively by the owner of this business, but consumers who moved to market virally in social media, especially social media video youtube. In this article the author analyzed descriptively about consumer behavior in digital marketing that has affected the sales of the culinary products. The analyzes were performed with case studies and associated in the literature on consumer behavior and digital marketing strategies. This article aims to describe the behavior of consumers in the digital age so that it can be input in determining the marketing strategy culinary efforts forward and be used for thought on the future of consumer research. Keywords: Digital Marketing, Social Media, Consumer Behavior

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

Social media and peer-to-peer support for individuals with health care needs and their caregivers: a scoping review (Preprint)

2019 ◽  
Author(s):  
Katherine Kelly ◽  
Shelley Doucet ◽  
Alison Luke ◽  
Rima Azar ◽  
William Montelpare
Keyword(s):  
Health Care ◽  
Social Media ◽  
Peer Support ◽  
Scoping Review ◽  
Emotional Support ◽  
Peer To Peer ◽  
Health Care Needs ◽  
Care Providers ◽  
Care Needs ◽  
The Many

BACKGROUND Individuals with health care needs and their caregivers require substantial informational and emotional support. Providing this support is a major challenge for care providers, who are often not able to adequately address barriers and may not be aware of available services and programs. Online P2P support offers an accessible and inexpensive source of support; however, the breadth of these supports on social media has not been previously documented. OBJECTIVE This study was a scoping review of research examining the use of peer-to-peer support on social media by individuals with health care needs and their caregivers. METHODS This review used the PRISMA-SR method to search for articles from 1997 to 2019. RESULTS A total of 94 articles were included. Patients and caregivers use many social media websites for P2P interaction, including: Facebook (n = 19), Twitter (n = 7), and YouTube (n = 6). Providing and receiving informational and emotional support were important uses of social media for P2P support; however, the specific needs and experiences of patients and caregivers appeared to change as knowledge regarding the condition(s) improved. Despite the many benefits associated with participating in online P2P groups, concerns related to ethics, privacy, and the potential to spread misinformation are outlined as risks associated with its use. CONCLUSIONS This study revealed that patients and caregivers engage in P2P support on social media to receive informational and emotional support from peers, despite known risks and limitations. Social networking websites were revealed to be particularly suited for P2P support communication.

scholarly journals Real-time spatio-temporal event detection on geotagged social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yasmeen George ◽  
Shanika Karunasekera ◽  
Aaron Harwood ◽  
Kwan Hui Lim
Keyword(s):  
New York ◽  
Social Media ◽  
Event Detection ◽  
Detection System ◽  
Time And Space ◽  
Social Media Data ◽  
Event Time ◽  
Spatio Temporal ◽  
Geographical Space ◽  
Media Data

AbstractA key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are useful for early warning for accident, protest, election or breaking news. However, neither the list of events nor the resolution of both event time and space is fixed or known beforehand. In this work, we propose an online spatio-temporal event detection system using social media that is able to detect events at different time and space resolutions. First, to address the challenge related to the unknown spatial resolution of events, a quad-tree method is exploited in order to split the geographical space into multiscale regions based on the density of social media data. Then, a statistical unsupervised approach is performed that involves Poisson distribution and a smoothing method for highlighting regions with unexpected density of social posts. Further, event duration is precisely estimated by merging events happening in the same region at consecutive time intervals. A post processing stage is introduced to filter out events that are spam, fake or wrong. Finally, we incorporate simple semantics by using social media entities to assess the integrity, and accuracy of detected events. The proposed method is evaluated using different social media datasets: Twitter and Flickr for different cities: Melbourne, London, Paris and New York. To verify the effectiveness of the proposed method, we compare our results with two baseline algorithms based on fixed split of geographical space and clustering method. For performance evaluation, we manually compute recall and precision. We also propose a new quality measure named strength index, which automatically measures how accurate the reported event is.

scholarly journals Social Media Activities and Its Influence on Customer-Brand Relationship: An Empirical Study of Apparel Retailers’ Activity in India

2020 ◽  
Vol 16 (4) ◽  
pp. 602-617
Author(s):  
Sukanya Sharma ◽  
Saumya Singh ◽  
Fedric Kujur ◽  
Gairik Das
Keyword(s):  
Social Media ◽  
Purchase Intention ◽  
Shopping Behavior ◽  
Social Media Marketing ◽  
The Internet ◽  
Digital Era ◽  
Brand Relationship ◽  
The Social ◽  
Marketing Activities ◽  
The Relationship

In this digital era, the internet, and Social Media (SM) has had a radical impact on the shopping behavior of “costumers” The SM provides a platform where “costumers” are exposed to the best product with the best price along with reviews and opinions about the merchandise. So, we can turn our heads and look at a brand in a way as if the brand is speaking to us. This study was an attempt to explore the Social Media Marketing Activities (SMMA) that are being used for the marketing of fashionable products like apparel and to what level the SMMA activities of brands truly strengthen the relationship with customers and motivate purchase intention. Moreover, SMMA has a robust application in developing a marketing strategy for business. It has become a significant tool that collaborates with businesses and people. It is concluded that the “costumer”-brand relationship does have a positive and statistically significant impact on consumers’ purchase intention through SM.

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