scholarly journals Social Media as a Sensor of Air Quality and Public Response in China

2015 ◽  
Vol 17 (3) ◽  
pp. e22 ◽  
Author(s):  
Shiliang Wang ◽  
Michael J Paul ◽  
Mark Dredze
Keyword(s):  
Social Media ◽  
Air Quality ◽  
Public Response

Public Response to Online Public Debate in the 2020 Regional Head Election of Ponorogo Regency

2021 ◽  
Vol 4 (1) ◽  
pp. 1340-1350
Author(s):  
Alifa Chandra Kumara ◽  
Dian Suluh Kusuma Dewi
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Political Participation ◽  
Public Debate ◽  
The Political ◽  
Mass Gathering ◽  
Public Response ◽  
Analysis Techniques ◽  
Public Debates ◽  
Cross Tabulation

This year, regional head elections were held in the midst of the Covid-19 pandemic so that social media can be used as a means of online campaigns to reduce mass gathering. This research was conducted to see the response of the Ponorogo community in participating in online public debates and to assess people's political participation by analyzing public comments on public debate shows on YouTube and Facebook. The data is processed using the Nvivo12 plus application by using cross tabulation data analysis techniques with manual coding then the results of the data obtained are described and analyzed in accordance with the theory of response and political participation. The data obtained on Facebook and YouTube were 772 responses with details of 357 responses on Facebook and 415 responses on YouTube. The responses given are in the form of positive, negative, and neutral responses. The process of obtaining data on public response is in accordance with the S-O-R response theory (Stimulus, Organism, Response) and the stage of response formation, as well as the political participation of the Ponorogo community is high enough to see the debate shows but the level of activeness in giving responses is less active.

Geography of Social Media in Public Response to Policy-Based Topics

2017 ◽  
pp. 205-216
Author(s):  
Xinyue Ye ◽  
Shengwen Li ◽  
Adiyana Sharag-Eldin ◽  
Ming-Hsiang Tsou ◽  
Brian Spitzberg
Keyword(s):  
Social Media ◽  
Public Response

scholarly journals Strategi Bauran Promosi dalam Sosialisasi Lagu Anak: Studi Kasus Album Penyanyi Cilik Naura

2017 ◽  
Vol 2 (1) ◽  
pp. 91-108
Author(s):  
Dwi Okta Renanda
Keyword(s):  
Social Media ◽  
Qualitative Data ◽  
Direct Marketing ◽  
Sales Promotion ◽  
Promotion Strategy ◽  
Public Response ◽  
The Public ◽  
The People ◽  
Children's Songs ◽  
Use Of Social Media

Perkembangan lagu anak di Indonesia mengalami dinamika yang berbeda dari tahun ke tahun. Era 90-an merupakan puncak dimana lagu anak mendapat perhatian yang lebih dari masyarakat Indonesia. Namun kondisi tersebut berbeda dengan keadaan lagu anak sekarang. Sudah tidak banyak lagi penyanyi-penyanyi cilik yang tampil di televisi dan berkurangnya lagu-lagu yang sesuai untuk anak yang kaya akan pesan pendidikan dan nasionalis. Hal ini dikarenakan sudah tidak banyak label rekaman yang memberikan wadah bagi penyanyi cilik dan adanya anggapan bahwa lagu anak kurang laku. Objek penelitian ini adalah album penyanyi cilik Naura dengan topik strategi promosi dan sosialisasi lagu anak. Penelitian ini bertujuan untuk mengkaji strategi bauran promosi album penyanyi cilik Naura dan mengetahui tanggapan masyarakat terhadap album penyanyi cilik Naura. Pendekatan yang dilakukan dalam penelitian ini adalah metode kualitatif dengan data tambahan sebagai pelengkap dari data kuantitatif berupa pemaparan presentase. Data kualitatif didapat dari 3 orang narasumber dan data kualitatif diperoleh dari 34 responden yang merupakan followers Instagram Naura. Hasil yang diperoleh, manajemen Naura menggunakan semua alat bauran promosi, meliputi periklanan, promosi penjualan, publisitas, penjualan perseorangan dan pemasaran langsung. Sedangkan alat promosi utama yang digunakan adalah pemasaran langsung yang difokuskan pada penggunaan media sosial. Hal ini disebabkan karena mayoritas peggemar Naura adalah anak-anak dan remaja yang memiliki akun media sosial. The development of children's songs in Indonesia experienced different dynamics from year to year. The 90's is the peak where the children's song gets more attention from the people of Indonesia. But the condition is different from the state of the child's song now. There are not many singers-singers who appear on television and reduced the appropriate songs for children who are rich in educational and nationalist messages. This is because there are not many record labels that provide a container for the little singers and the assumption that the child's song is less salable.The object of this research is Naura little singer album with the topic of promotion strategy and socialization of children song. This study aims to examine the promotion mix strategy of Naura's little singer album and to know the public response to Naura's little singer album. The approach taken in this research is qualitative method with additional data as complement of quantitative data in the form of presentation of percentage. Qualitative data were obtained from 3 resource persons and qualitative data were obtained from 34 respondents who were followers Instagram Naura. The results obtained, Naura's management uses all promotional mix tools, including advertising, sales promotion, publicity, individual sales and direct marketing. While the main promotional tool used is direct marketing that is focused on the use of social media. This is because the majority of Naura's fans are children and adolescents who have social media accounts.

Public response to campus shootings using social media

2017 ◽  
pp. 94-105 ◽  
Author(s):  
Xinyue Ye ◽  
Zhuo Chen ◽  
Shengwen Li
Keyword(s):  
Social Media ◽  
Public Response

Conclusion

2018 ◽  
pp. 235-242
Author(s):  
Steven McKevitt
Keyword(s):  
Social Media ◽  
World Wide Web ◽  
World Wide ◽  
New Labour ◽  
General Election ◽  
Public Response ◽  
The Public ◽  
The World ◽  
Social Media Platforms

The Conclusion draws together the main findings of the study. Britain in 1997 was a far more emotional and expressive society. This is highlighted by two events: the public response to the death of Diana, Princess of Wales, and the success of New Labour in the general election. The extent to which persuasion industries were responsible for bringing these changes about is discussed. There is a discussion of some areas for further study: the subsequent impact of the World Wide Web and social media platforms; persuasion aimed at children/juvenile consumption, and the development of single British brand throughout the period—for example, Virgin.

scholarly journals Understanding Public Response to Air Quality Using Tweet Analysis

2019 ◽  
Vol 5 (3) ◽  
pp. 205630511986765
Author(s):  
Supraja Gurajala ◽  
Suresh Dhaniyala ◽  
Jeanna N. Matthews
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Machine Learning Algorithms ◽  
Mitigation Measures ◽  
Quality Data ◽  
Public Health Issue ◽  
New Delhi ◽  
Public Response ◽  
Pollution Levels ◽  
Adverse Health Effects

Poor air quality is recognized as a major risk factor for human health globally. Critical to addressing this important public-health issue is the effective dissemination of air quality data, information about adverse health effects, and the necessary mitigation measures. However, recent studies have shown that even when public get data on air quality and understand its importance, people do not necessarily take actions to protect their health or exhibit pro-environmental behaviors to address the problem. Most existing studies on public attitude and response to air quality are based on offline studies, with a limited number of survey participants and over a limited number of geographical locations. For a larger survey size and a wider set of locations, we collected Twitter data for a period of nearly 2 years and analyzed these data for three major cities: Paris, London, and New Delhi. We identify the three hashtags in each city that best correlate the frequency of tweets with local air quality. Using tweets with these hashtags, we determined that people’s response to air quality across all three cities was nearly identical when considering relative changes in air pollution. Using machine-learning algorithms, we determined that health concerns dominated public response when air quality degraded, with the strongest increase in concern being in New Delhi, where pollution levels are the highest among the three cities studied. The public call for political solutions when air quality worsens is consistent with similar findings with offline surveys in other cities. We also conducted an unsupervised learning analysis to extract topics from tweets in Delhi and studied their evolution over time and with changing air quality. Our analysis helped extract relevant words or features associated with different air quality–related topics such as air pollution policy and health. Also, the topic modeling analysis revealed niche topics associated with sporadic air quality events, such as fireworks during festivals and the air quality impact on an outdoor sport event. Our approach shows that a tweet-based analysis can enable social scientists to probe and survey public response to events such as air quality in a timely fashion and help policy makers respond appropriately.

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