PERSEPSI MAHASISWA UPI TERHADAP FENOMENA INFORMATION ENCOUNTERING DALAM PENGGUNAAN TWITTER

Media sosial Twitter biasa digunakan sebagai media komunikasi dan berinformasi dengan dunia luar. Namun di sisi lain Twitter dapat dimanfaatkan sebagai sumber informasi dikarenakan banyaknya informasi yang dibuat dan tersebar dalam media ini. Hal ini membuat pengguna Twitter memiliki potensi untuk menemukan informasi yang menarik atau berguna secara insidental atau yang dalam ilmu informasi dikenal sebagai information encountering. Tujuan dari penelitian ini dilakukan adalah untuk mengetahui bagaimana tingkat persepsi yang dimiliki pengguna Twitter, yang dalam hal penelitian ini dibatasi menjadi mahasiswa S1 UPI, terhadap fenomena information encountering dalam penggunaan Twitter. Mahasiswa S1 UPI dipilih sebagai subjek penelitian dengan alasan banyak mahasiswa UPI yang aktif menggunakan Twitter sebagai media sosial sehari-hari. Metode yang digunakan adalah kuantitatif deskriptif dengan teknik pengumpulan data melalui kuesioner. Sampel penelitian dalam penelitian ini dipilih berdasarkan purposive sampling dengan jumlah 100 orang mahasiswa yang menggunakan Twitter secara aktif dalam 3 bulan terakhir. Hasil penelitian sendiri menunjukan bahwa tingkat persepsi yang mahasiswa UPI miliki terhadap fenomena information encountering dalam penggunaan Twitter menunjukkan nilai yang baik. Hal ini dapat dilihat dari bagaimana mahasiswa UPI dapat menginterpretasikan apa yang dialami pada tahapan terjadinya information encountering dan faktor yang membuat seseorang menemukan informasi secara insidental dengan baik. Seluruh sub-indikator dalam penelitian ini memiliki nilai interpretasi yang baik. Twitter as social media is commonly used as a medium of communication and information with the outside world. But, on other side of coin, Twitter can be used as a source of information media because of the large amount of information created and spread in this medium. This makes Twitter users have potential to find interesting or useful information in incidental occasion or what in information science known as information encountering. The purpose of this research is to find out how the level of perception that Twitter users have, which in this case is limited to UPI’s Bachelor students, regarding the phenomenon of information encountering during Twitter usage. UPI’s Bachelor students were chosen as research subjects because many UPI students actively use Twitter as their social media as part of their daily activities. The method used in this research is descriptive quantitative with data collection techniques through questionnaires. The research sample in this study was selected based on purposive sampling with a total of 100 students who used Twitter actively in the last 3 months. The results of the research itself show that the level of perception that UPI students have towards the information encountering phenomenon in using Twitter shows a good value. This can be seen from how UPI students can interpret what is experienced during the stages of information encountering and the factors that make a person find information incidentally well. All sub-indicators in this research have good interpretation values

National libraries' use of Facebook and Twitter and user engagement

This research investigated national libraries' use of Facebook and Twitter and the user responses to those activities. Data was collected directly from the Facebook and Twitter pages of three national libraries (Library of Congress between 30.01.18 and 24.04.18, National Library of Australia and National Library of Scotland both between 10.06.19 and 1.09.19) including the posts and user comments. Content and thematic analysis was performed on the posts to determine library behaviour and a developed toolkit utilising thematic discourse analysis was used to understand user responses. Libraries were found to post about library-centric topics such as collections, events and resources, and linked users to library controlled webspaces such as their websites or other social media. Images were used to either complement or enhance the information contained in posts, though no overall patterns emerged as the libraries varied slightly in their posting patterns. Two major differences were responses to other social media on Twitter that were not available on Facebook, and the NLS using more personable themes. The libraries also responded to users differently with LoC barely responding, and NLA and NLS liking and responding to comments. Users mostly responded to the content of posts, as well as having conversations in the NLA and NLS datasets. Common motivations for responding including liking the content, sharing the content with others, sharing relevant memories or content as well as gratitude and answering a question, with most motivations and comments positive. Response rates varied, with the NLS receiving the most comments on Twitter despite the smallest library size. The results aligned with existing research in other areas, and beyond the advice for practitioners to respond to users and use informal language, one of the main outputs of the research is a toolkit that can be used by others to gain deeper understanding of user engagements.This research investigated national libraries' use of Facebook and Twitter and the user responses to those activities. Data was collected directly from the Facebook and Twitter pages of three national libraries (Library of Congress between 30.01.18 and 24.04.18, National Library of Australia and National Library of Scotland both between 10.06.19 and 1.09.19) including the posts and user comments. Content and thematic analysis was performed on the posts to determine library behaviour and a developed toolkit utilising thematic discourse analysis was used to understand user responses. Libraries were found to post about library-centric topics such as collections, events and resources, and linked users to library controlled webspaces such as their websites or other social media. Images were used to either complement or enhance the information contained in posts, though no overall patterns emerged as the libraries varied slightly in their posting patterns. Two major differences were responses to other social media on Twitter that were not available on Facebook, and the NLS using more personable themes. The libraries also responded to users differently with LoC barely responding, and NLA and NLS liking and responding to comments. Users mostly responded to the content of posts, as well as having conversations in the NLA and NLS datasets. Common motivations for responding including liking the content, sharing the content with others, sharing relevant memories or content as well as gratitude and answering a question, with most motivations and comments positive. Response rates varied, with the NLS receiving the most comments on Twitter despite the smallest library size. The results aligned with existing research in other areas, and beyond the advice for practitioners to respond to users and use informal language, one of the main outputs of the research is a toolkit that can be used by others to gain deeper understanding of user engagements

Exploring consumers’ serendipitous experiences in online marketplaces: characteristics, development route and factors influencing it

This research aims to explore and understand the nature of serendipity within online marketplaces (i.e. e-commerce serendipity). The motivation for setting this aim stems from a recognised misalignment between the practical applications and theoretical explorations of e-commerce serendipity. E-commerce consumers and practitioners acknowledge the practical value of serendipity. However, they lack a strong theoretical foundation to fully benefit from this phenomenon. In contrast, serendipity- focused studies, especially within information science, have not focused on e-commerce serendipity before and doubted the feasibility of consciously design serendipity. Thus, these studies have resulted in insufficient theoretical support for consumers and practitioners. To bridge the gap between theory and practice, this research adopts a participant-centric narrative approach. This approach aims to contribute to creating more consumer-friendly online marketplaces and to deepen the understanding of serendipity. Participants were prioritised as the main contributors, sharing their experiences and perceptions of e-commerce serendipity through storytelling. Thirty-two Chinese online consumers took part in the research, contributing a total of 123 real-life stories. All these stories were collaboratively analysed with the participants, ensuring a faithful portrayal of e-commerce serendipity as experienced by the consumers themselves. The findings reveal that e-commerce serendipity is an artificially facilitated unplanned experience, jointly shaped by consumers and online platforms along with their designers. Being an artificial serendipity, e-commerce serendipity is characterised by its expectedness, thrillingness, and varied outcomes. Three routes were presented for consumers to experience e-commerce serendipity: coincidence, unexpected discovery, encountering. These routes differed via the varying interaction patterns between serendipitists and third parties under different conditions. The findings regarding e- commerce serendipity as a form of artificial serendipity have significant implications for both research and practice. Theoretically, this research contributes to serendipity-focused studies, particularly in the field of information science. It enhances the current understanding of serendipity and suggests that serendipity- focused research should embrace the concept of serendipity by design. This involves expanding beyond the narrow research scope and definitions that currently dominate the research context, offering a broader and more inclusive perspective. Practically, this thesis contributes to the fostering of mutually beneficial artificial serendipity in online marketplaces. This involves e-commerce practitioners listening attentively to consumers’ voices and for consumers to enhance their digital literacy. Beyond these directly related areas, the research further contributes to Human-Computer Interaction (HCI) studies due to its choice of research context. It provides insights into how better to design recommender systems and create a harmonious online ecosystem

Exploring consumers’ serendipitous experiences in online marketplaces: characteristics, development route and factors influencing it

The findings reveal that e-commerce serendipity is an artificially facilitated unplanned experience, jointly shaped by consumers and online platforms along with their designers. Being an artificial serendipity, e-commerce serendipity is characterised by its expectedness, thrillingness, and varied outcomes. Three routes were presented for consumers to experience e-commerce serendipity: coincidence, unexpected discovery, encountering. These routes differed via the varying interaction patterns between serendipitists and third parties under different conditions. The findings regarding ecommerce serendipity as a form of artificial serendipity have significant implications for both research and practice