scholarly journals Research on event perception based on geo-tagged social media data

2019 ◽  
Vol 2 ◽  
pp. 1-8 ◽  
Author(s):  
Ruoxin Zhu ◽  
Chenyu Zuo ◽  
Diao Lin
Keyword(s):  
Social Media ◽  
Event Study ◽  
Information Dissemination ◽  
Survey Methods ◽  
Technological Advancement ◽  
Social Media Data ◽  
Related Information ◽  
Event Model ◽  
Open Question ◽  
Media Data

<p><strong>Abstract.</strong> Technological advancement makes information dissemination more convenient. When a notable event occurs, social media serves a popular platform for citizens to share event-related information. Therefore, in the information age, how to effectively observe the event and improve event management ability is an open question worthy of attention. Traditional social survey methods and various automatic sensors have been widely used to monitor the specific event. However, widely used social media service provides a unique approach for the event study with individuals as smart sensors. How to perceive an event through social media data has triggered a series of researches. Currently, we can find when, where what happened and induced impact based on geo-tagged social media data. However, event study based on social media is still in its infancy. This paper provides an overview of event study based on geo-tagged social media data. Firstly, we introduce the event model and the characteristics of social media data. Then, how to detect and trace event, how to analyze event impact and visually express obtained knowledge are discussed respectively. Subsequently, based on the existing researches, we propose further questions and conclude.</p>

scholarly journals A Multi-platform Approach to Monitoring Negative Dominance for COVID-19 Vaccine-Related Information Online

2021 ◽  
pp. 1-24
Author(s):  
Paola Pascual-Ferrá ◽  
Neil Alperstein ◽  
Daniel J. Barnett
Keyword(s):  
Social Media ◽  
Adverse Events ◽  
News Media ◽  
Search Behavior ◽  
Social Media Data ◽  
Future Studies ◽  
Related Information ◽  
Youtube Videos ◽  
Negative Dominance ◽  
Media Data

Abstract Objective The aim of this study was to test the appearance of negative dominance in COVID-19 vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events related to the vaccine, that negative content would attract more engagement on social media than other vaccine-related posts, and posts referencing adverse events related to COVID-19 vaccination would have a higher average toxicity score. Methods We collected data using Google Trends for search behavior, CrowdTangle for social media data, and Media Cloud for media stories, and compared them against the dates of key adverse events related to COVID-19. We used Communalytic to analyze the toxicity of social media posts by platform and topic. Results While our first hypothesis was partially supported, with peaks in search behavior for image and YouTube videos driven by adverse events, we did not find negative dominance in other types of searches or patterns of attention by news media or on social media. Conclusion We did not find evidence in our data to prove the negative dominance of adverse events related to COVID-19 vaccination on social media. Future studies should corroborate these findings and, if consistent, focus on explaining why this may be the case.

Applying sentiment analytics to examine social media crises: a case study of United Airline's crisis in 2017

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xin Tian ◽  
Wu He ◽  
Feng-Kwei Wang
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Social Media Data ◽  
Content Type ◽  
The Public ◽  
Response Strategies ◽  
Related Information ◽  
Valence And Arousal ◽  
Public Reaction ◽  
Media Data

PurposeIn recent years, social media crises occurred more and more often, which negatively affect the reputations of individuals, businesses and communities. During each crisis, numerous users either participated in online discussion or widely spread crisis-related information to their friends and followers on social media. By applying sentiment analysis to study a social media crisis of airline carriers, the purpose of this research is to help companies take measure against social media crises.Design/methodology/approachThis study used sentiment analytics to examine a social media crisis related to airline carriers. The arousal, valence, negative, positive and eight emotional sentiments were applied to analyze social media data collected from Twitter.FindingsThis research study found that social media sentiment analysis is useful to monitor public reaction after a social media crisis arises. The sentiment results are able to reflect the development of social media crises quite well. Proper and timely response strategies to a crisis can mitigate the crisis through effective communication with the customers and the public.Originality/valueThis study used the Affective Norms of English Words (ANEW) dictionary to classify the words in social media data and assigned the words with two elements to measure the emotions: valence and arousal. The intensity of the sentiment determines the public reaction to a social media crisis. An opinion-oriented information system is proposed as a solution for resolving a social media crisis in the paper.

scholarly journals Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study

10.2196/18767 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e18767
Author(s):  
Jooyun Lee ◽  
Hyeoun-Ae Park ◽  
Seul Ki Park ◽  
Tae-Min Song
Keyword(s):  
Social Media ◽  
Health Information ◽  
Language Processing ◽  
Information Needs ◽  
Semantic Analysis ◽  
Care Process ◽  
Cancer Type ◽  
Social Media Data ◽  
Related Information ◽  
Media Data

Background Analysis of posts on social media is effective in investigating health information needs for disease management and identifying people’s emotional status related to disease. An ontology is needed for semantic analysis of social media data. Objective This study was performed to develop a cancer ontology with terminology containing consumer terms and to analyze social media data to identify health information needs and emotions related to cancer. Methods A cancer ontology was developed using social media data, collected with a crawler, from online communities and blogs between January 1, 2014 and June 30, 2017 in South Korea. The relative frequencies of posts containing ontology concepts were counted and compared by cancer type. Results The ontology had 9 superclasses, 213 class concepts, and 4061 synonyms. Ontology-driven natural language processing was performed on the text from 754,744 cancer-related posts. Colon, breast, stomach, cervical, lung, liver, pancreatic, and prostate cancer; brain tumors; and leukemia appeared most in these posts. At the superclass level, risk factor was the most frequent, followed by emotions, symptoms, treatments, and dealing with cancer. Conclusions Information needs and emotions differed according to cancer type. The observations of this study could be used to provide tailored information to consumers according to cancer type and care process. Attention should be paid to provision of cancer-related information to not only patients but also their families and the general public seeking information on cancer.

scholarly journals Pengaruh Daya Tarik Iklan di Media Sosial Instagram terhadap Minat Beli Konsumen (Survei Terhadap Produk Sepatu Brodo di Kalangan Anak Muda Jakarta Barat)

Prologia ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 60
Author(s):  
Hendy Suryawijaya ◽  
Farid Rusdi
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Survey Methods ◽  
Positive Influence ◽  
Primary Data ◽  
Observation Unit ◽  
The West ◽  
Social Media Data ◽  
The Social ◽  
Media Data

The attractiveness of advertising can be assumed as something that moves people, talks about their wants or needs, and arouses their interest. The attractiveness of advertising is very important because it will increase the success of communication with consumers. An ad with a high ad appeal can create consumer buying interest towards a brand. buying interest is an impulse in a person to pay attention without coercion on a product and lead to a purchase. This study aims to measure the effect of the attractiveness of advertising on social media on consumer buying interest. This study uses quantitative techniques with survey methods and uses Brodo as an observation unit. Primary data was collected through distributing questionnaires to 105 young respondents in the West Jakarta area who had seen or known Brodo shoes advertisements in the form of posts or stories on Instagram social media. Data analysis uses Statistical Package for the Social Sciences with SPSS for Windows 17 application. Based on the results of the study, it is known that there is a positive influence between the attractiveness of advertising on social media on consumer buying interest in products from Brodo shoes. The attractiveness of advertising has an influence of 66.6% on buying interest. If the attractiveness of advertisements increases, consumers' buying orders will also increase. Conversely, if the attractiveness of advertising decreases, consumers' buying orders will also decrease.Iklan memiliki daya tarik. Melalui iklan orang dapat “tergerak” untuk berbicara baik tentang keinginan maupun kebutuhan mereka, dan pada akhirnya membangun ketertarikan terhadap produk tertentu. Daya tarik iklan dinilai penting karena dapat menghasilkan komunikasi yang sukses dengan konsumen. Suatu iklan dengan daya tarik iklan yang tinggi dapat menciptakan minat beli konsumen terhadap suatu merek. minat beli merupakan dorongan dalam diri seseorang untuk menaruh perhatian tanpa paksaan pada suatu produk dan berujung pada pembelian. Penelitian ini bertujuan untuk mengukur pengaruh daya tarik iklan di media sosial terhadap minat beli konsumen. Teknik yang digunakan dalam penelitian adalah kuantitatif tepatnya metode survey, dan menggunakan Brodo sebagai unit observasi. Data penelitian didapat dengan membagikan kuesioner kepada 105 responden anak muda di daerah Jakarta Barat yang pernah melihat atau mengetahui iklan sepatu Brodo baik dalam bentuk postingan atau story di media sosial Instagram. Analisis data menggunakan Statistical Package for the Social Sciences dengan aplikasi SPSS for windows 17. Berdasarkan hasil penelitian, diketahui bahwa ada pengaruh yang positif antara daya tarik iklan di media sosial terhadap minat beli konsumen terhadap produk dari sepatu Brodo. Daya tarik iklan berpengaruh terhadap minat beli sebesar 66,6%. Artinya, jika daya tarik iklan meningkat maka mendorong meningkatnya niat beli konsumen. Sebaliknya, jika daya tarik iklan menurun maka mendorong turunnya minat beli konsumen.

scholarly journals Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study (Preprint)

2020 ◽  
Author(s):  
Jooyun Lee ◽  
Hyeoun-Ae Park ◽  
Seul Ki Park ◽  
Tae-Min Song
Keyword(s):  
Social Media ◽  
Health Information ◽  
Language Processing ◽  
Information Needs ◽  
Semantic Analysis ◽  
Care Process ◽  
Cancer Type ◽  
Social Media Data ◽  
Related Information ◽  
Media Data

BACKGROUND Analysis of posts on social media is effective in investigating health information needs for disease management and identifying people’s emotional status related to disease. An ontology is needed for semantic analysis of social media data. OBJECTIVE This study was performed to develop a cancer ontology with terminology containing consumer terms and to analyze social media data to identify health information needs and emotions related to cancer. METHODS A cancer ontology was developed using social media data, collected with a crawler, from online communities and blogs between January 1, 2014 and June 30, 2017 in South Korea. The relative frequencies of posts containing ontology concepts were counted and compared by cancer type. RESULTS The ontology had 9 superclasses, 213 class concepts, and 4061 synonyms. Ontology-driven natural language processing was performed on the text from 754,744 cancer-related posts. Colon, breast, stomach, cervical, lung, liver, pancreatic, and prostate cancer; brain tumors; and leukemia appeared most in these posts. At the superclass level, risk factor was the most frequent, followed by emotions, symptoms, treatments, and dealing with cancer. CONCLUSIONS Information needs and emotions differed according to cancer type. The observations of this study could be used to provide tailored information to consumers according to cancer type and care process. Attention should be paid to provision of cancer-related information to not only patients but also their families and the general public seeking information on cancer.

News and Geolocated Social Media Accurately Measure Protest Size Variation

2020 ◽  
Vol 114 (4) ◽  
pp. 1343-1351
Author(s):  
ANTON SOBOLEV ◽  
M. KEITH CHEN ◽  
JUNGSEOCK JOO ◽  
ZACHARY C. STEINERT-THRELKELD
Keyword(s):  
United States ◽  
Social Media ◽  
News Media ◽  
Size Variation ◽  
Policy Changes ◽  
Social Media Data ◽  
Location Data ◽  
Open Question ◽  
Media Data ◽  
Size Estimates

Larger protests are more likely to lead to policy changes than small ones are, but whether or not attendance estimates provided in news or generated from social media are biased is an open question. This letter closes the question: news and geolocated social media data generate accurate estimates of protest size variation. This claim is substantiated using cellphone location data from more than 10 million individuals during the 2017 United States Women’s March protests. These cellphone estimates correlate strongly with those provided in news media as well as three size estimates generated using geolocated tweets, one text-based and two based on images. Inferences about protest attendance from these estimates match others’ findings about the Women’s March.

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