scholarly journals Cyber-ethnography of cannabis marketing on social media

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Marina C. Jenkins ◽  
Lauren Kelly ◽  
Kole Binger ◽  
Megan A. Moreno
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Major Theme ◽  
Medical Cannabis ◽  
Specific Targeting ◽  
Digital World ◽  
Ethnographic Approach ◽  
Field Notes ◽  
One Year ◽  
Primary Form

Abstract Background Since 2012, several states have legalized non-medical cannabis, and cannabis businesses have used social media as a primary form of marketing. There are concerns that social media cannabis exposure may reach underage viewers. Our objective was to identify how cannabis businesses cultivate an online presence and exert influence that may reach youth. Methods We chose a cyber-ethnographic approach to explore cannabis retailers on social media. We searched cannabis retailers with Facebook and Instagram presence from Alaska, Oregon, Colorado, and Washington, and identified 28 social media business profiles. One year of content was evaluated from each profile. In-depth, observational field notes were collected from researchers immersed in data collection on business profiles. Field notes were analyzed to uncover common themes associated with social media cannabis marketing. Results A total of 14 businesses were evaluated across both Facebook and Instagram, resulting in 14 sets of combined field notes. A major theme was Normalization of Cannabis, involving both Broad Appeal and Specific Targeting. Conclusions It is concerning that Normalization of Cannabis by cannabis businesses may increase cannabis acceptability among youth. In a digital world where the majority of youth are spending time online, it is important for policymakers to examine additional restrictions for cannabis businesses marketing through social media.

scholarly journals The Choice of Codes among Santri in Communication through Facebook

2020 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Eka Susylowati
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Mother Tongue ◽  
Boarding School ◽  
Research Results ◽  
Local Language ◽  
Field Notes ◽  
Arabic And English ◽  
Research Analysis

The era of modernization of social media has always been associated with teenagers, especially those on Facebook. This social media can be used as a medium to show their existence. The language used for communication interactions varies. The purpose of this study is to identify the choice of language codes used by students in the Islamic Modern Assalaam Islamic Boarding School in Indonesia in their communication interactions. This research is a qualitative in nature. The data under investigation are students’ conversations on Facebook, which are particularly related to the choice of codes. Data collection includes observation, field notes, and interviews. This research analysis employs the components of the Hymes (SPEAKING) speech. The research results demonstrate that the choice of language codes used by students to communicate in social media involves Indonesian, Arabic, English, and Javanese. The development of technology can make communication effective for students. Besides, that can drive the changes in behavior and language they use. The significance of this research is that there are bilingualism/multilingualism phenomena through the use of Indonesian, Arabic, and English, which is proven not to shift the local language (Javanese), let alone destroying local language as a mother tongue.

Survey Research

2018 ◽  
pp. 257-276
Author(s):  
Ernest W. Brewer ◽  
Geraldine Torrisi-Steele ◽  
Victor C. X. Wang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Collection ◽  
Survey Research ◽  
Mobile Devices ◽  
Historical Perspective ◽  
Human Condition ◽  
The Core ◽  
Digital World ◽  
Core Issues

Survey research, in various forms, is the mainstay for social researchers and anyone interested in finding out about people's opinions, attitudes, beliefs, and experiences. Survey research evolved from simple data collection to a more sophisticated scientific method and has proved useful in describing various aspects of the human condition as a basis for further action. However, now survey research is being challenged by the digital world as defined by big data, social media, and mobile devices. In the chapter, the authors provide a historical perspective on survey research, along with a brief presentation of foundational elements of survey research. Then, with the intent of evoking reflective discussion, the authors identify some of the core issues and viewpoints surrounding survey research in the present digital world.

Investigating Undergraduate Student Mobile Device Use in Context

2011 ◽  
pp. 120-136 ◽  
Author(s):  
Yanjie Song
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Empirical Research ◽  
Mobile Device ◽  
Undergraduate Student ◽  
Context Data ◽  
Field Notes ◽  
Device Use ◽  
One Year ◽  
Collection Methods

This chapter reports on an in-depth one-year empirical research into examining five undergraduate student mobile device uses in context. Data collection methods include: student reflective e-journals, student artifacts, observations, interviews, field notes, and memos. Three complementary streams were involved in the data analysis. Seven interacting factors in context that could either facilitate or inhibit mobile device use were identified and discussed.

EFFECT OF DIGITAL COMMUNITY TOWARDS DEMOCRACY PROCESS: DIGITAL PARTISIPATION ANALYSIS IN INDONESIA

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Alih Aji Nugroho
Keyword(s):  
Public Policy ◽  
Social Media ◽  
Political Participation ◽  
Public Space ◽  
Rapid Development ◽  
Critical Mass ◽  
Digital Society ◽  
Digital World ◽  
Digital Community ◽  
The Government

The world is entering a new phase of the digital era, including Indonesia. The unification of the real world and cyberspace is a sign, where the conditions of both can influence each other (Hyung Jun, 2018). The patterns of behavior and public relations in the virtual universe gave rise to new social interactions called the Digital Society. One part of Global Megatrends has also influenced public policy in Indonesia in recent years. Critical mass previously carried out conventionally is now a virtual movement. War of hashtags, petitions, and digital community comments are new tools and strategies for influencing policy. This paper attempts to analyze the extent of digital society's influence on public policy in Indonesia. As well as what public policy models are needed. Methodology used in this analysis is qualitative descriptive. Data collection through literature studies by critical mass digital recognition in Indonesia and trying to find a relationship between political participation through social media and democracy. By processing the pro and contra views regarding the selection of social media as a level of participation, this paper finds that there are overlapping interests that have the potential to distort the articulation of freedom of opinion and participation. - which is characteristic of a democratic state. The result is the rapid development of digital society which greatly influences the public policy process. Digital society imagines being able to participate formally in influencing policy in Indonesia. The democracy that developed in the digital society is cyberdemocracy. Public space in the digital world must be guaranteed security and its impact on the policies that will be determined. The recommendation given to the government is that a cyber data analyst is needed to oversee the issues that are developing in the digital world. Regulations related to the security of digital public spaces must be maximized. The government maximizes cooperation with related stakeholders.Keywords: Digital Society; Democracy; Public policy; Political Participation

Representasi Feminisme dalam Video Klip ‘Nightmare’ oleh Halsey

Koneksi ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 338
Author(s):  
Faiz Zulia Maharany ◽  
Ahmad Junaidi
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Data Collection ◽  
Mass Communication ◽  
Video Clip ◽  
Charles Sanders Peirce ◽  
Patriarchal Culture ◽  
The Social ◽  
Social Media Platforms ◽  
Barrier Wall

'Nightmare' is the title of a video clip belonging to a singer and singer called Halsey, in which the video clip is explained about the figure of women who struggle against patriarchal culture which has been a barrier wall for women to get their rights, welfare and the equality needed they get. This research uses descriptive qualitative research methods. Data collection techniques are done through documentation, observation and study of literature. Then, analyzed using Charles Sanders Peirce's semiotics technique. The results of this study show the fact that signs, symbols or messages representing feminism in the video, 'Nightmare' clips are presented through scenes that present women's actions in opposing domination over men and sarcastic sentences contained in the lyrics of the song to discuss with patriarchy. Youtube as one of the social media platforms where the 'Nightmare' video clip is uploaded is very effective for mass communication and for conveying the message contained in the video clip to the viewing public.‘Nightmare’ adalah judul video klip milik musisi sekaligus penyanyi yang bernama Halsey, dimana pada Video klipnya tersebut menceritakan tentang figur perempuan-perempuan yang berusaha melawan budaya patriarki yang selama ini telah menjadi dinding penghalang bagi perempuan untuk mendapatkan hak-haknya, keadilan dan kesetaraan yang seharusnya mereka dapatkan. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data dilakukan melalui dokumentasi, observasi dan studi kepustakaan. Kemudian, dianalisis menggunakan teknik semiotika milik Charles Sanders Peirce. Hasil penelitian ini menunjukan bahwa terdapat tanda-tanda, simbol atau pesan yang merepresentasikan feminisme di dalam video klip ‘Nightmare’ yang dihadirkan melalui adegan-adegan yang menyajikan aksi perempuan dalam menolak dominasi atas laki-laki dan kalimat-kalimat sarkas yang terkandung dalam lirik lagunya untuk ditujukan kepada patriarki. Youtube sebagai salah satu platform media sosial dimana video klip ‘Nightmare’ diunggah sangat efektif untuk melakukan komunikasi massa dan untuk menyampaikan pesan yang terkandung di dalam video klip tersebut kepada masyarakat yang menonton.

Social Media Literacy For Housewives In Kanoman Maguwoharjo Village, Sleman, Yogyakarta

2020 ◽  
Author(s):  
Dewi Novianti ◽  
Siti Fatonah
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Data Collection ◽  
Focus Group Discussion ◽  
Media Literacy ◽  
Participant Observation ◽  
Group Discussion ◽  
Qualitative Approach ◽  
Research Subjects

Social media is a necessity for everyone in communicating and exchanging information. Social media users do not know the boundaries of age, generation, gender, ethnicity, and religion. However, what is interesting is the user among housewives. This study took the research subjects of housewives. Housewives are chosen as research subjects because they are pillars or pillars in a household. If the pillar is strong, then the household will also be healthy. Thus, if we want to build a resilient and robust generation, we will start from the housewives. A healthy household starts from strong mothers too. This study aims to find out the insights of the housewives of Kanoman village regarding the content on smartphones and social media and provide knowledge of social media literacy to housewives. This study used a qualitative approach with data collection techniques using participant observation, interviews, focus group discussion (FGD), and documentation. The results of the study showed that previously housewives had not experienced social media literacy. Then the researchers took steps to be able to achieve the desired literacy results. Researchers took several steps to make them become social media literates. They become able to use social media, understand social media, and even produce messages through social media.

AN EXPLORATION OF GENDER DIFFERENCES IN TEENAGERS’ USE, CONSUMPTION AND DIGITAL PRODUCTION

2020 ◽  
Author(s):  
Corina-Maricica Seserman ◽  
Daniela Cojocaru
Keyword(s):  
Gender Differences ◽  
Social Media ◽  
Data Collection ◽  
Gender Identity ◽  
Online Survey ◽  
Peer Group ◽  
Methodological Approach ◽  
Digital Content ◽  
Media Consumption ◽  
The Way

Today’s teenagers have a very close relationship with ICTs and the digital space related to them, as they have impacted the way the youth constructs their sense of self and the tools they use to perform their carefully constructed identity. One key element which influences the way one constructs their views by themselves is within the boundaries set by their biological sex and therefore through the behaviors associated with their asigned gender. Through the symbolic interactionist lense, or more specifically through Goffman's dramaturgical theory on the manner in which one presents him/herself in society, this paper looks at the manner in which teenagers use social media platforms and at the way they consume and create digital content in order to present their gender identity. The way teenagers consume and produce digital content differs and depends on how they interpret their ideals of femininity and masculinity, which are afterwards reproduced in the content they post on their social media pages. Therefore this research is an attempt to understand what are the factors teenagers take in account when consuming and producing content. What gender differences can be observed in regards to new media consumption? What difference can be observed in online activity behaviors between males and females? How do they feel about their gender identity concerning fitting in with their peer group? A mix-methodological approach was engaged in the data collection process. In the first stage of the research highschool students (n=324) from the city of Suceava (Romania) participated in taking an online survey. The initial intent was to meet with the young respondents in person, but due to the COVID-19 pandemic this was deemed impossible. For the second stage of data collection, six of the participants who took the online survey were invited to participate in a focus group designed to grasp a better understanding of the results from the previous stage. The discovered findings uncover engaging gender similarities and differences in social media consumption and the type, subject, matter and style in which they posted their content, but also in regards to the performance of the self between the online and offline space.

scholarly journals DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Suppawong Tuarob ◽  
Poom Wettayakorn ◽  
Ponpat Phetchai ◽  
Siripong Traivijitkhun ◽  
Sunghoon Lim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Data Collection ◽  
Stock Market ◽  
Real Time ◽  
Stock Prices ◽  
Contextual Information ◽  
Online News ◽  
Stock Prediction ◽  
Stock Market Prediction

AbstractThe explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining techniques has enabled stock investors to uncover market movement and volatility from heterogeneous content. For example, a typical stock market investor reads the news, explores market sentiment, and analyzes technical details in order to make a sound decision prior to purchasing or selling a particular company’s stock. However, capturing a dynamic stock market trend is challenging owing to high fluctuation and the non-stationary nature of the stock market. Although existing studies have attempted to enhance stock prediction, few have provided a complete decision-support system for investors to retrieve real-time data from multiple sources and extract insightful information for sound decision-making. To address the above challenge, we propose a unified solution for data collection, analysis, and visualization in real-time stock market prediction to retrieve and process relevant financial data from news articles, social media, and company technical information. We aim to provide not only useful information for stock investors but also meaningful visualization that enables investors to effectively interpret storyline events affecting stock prices. Specifically, we utilize an ensemble stacking of diversified machine-learning-based estimators and innovative contextual feature engineering to predict the next day’s stock prices. Experiment results show that our proposed stock forecasting method outperforms a traditional baseline with an average mean absolute percentage error of 0.93. Our findings confirm that leveraging an ensemble scheme of machine learning methods with contextual information improves stock prediction performance. Finally, our study could be further extended to a wide variety of innovative financial applications that seek to incorporate external insight from contextual information such as large-scale online news articles and social media data.

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