1,721,063 research outputs found
ANALISIS RESPONS WARGANET TERHADAP PEMBERITAAN PEMILU 2024 (STUDI KASUS INSTAGRAM MEDIA @PINTERPOLITIK)
Get PDFABSTRAK
Nama : Muhammad Abdul Hadi
Jurusan : Ilmu Komunikasi
NIM : 11840311905
Judul : Analisis Respons Warganet Terhadap Pemberitaan Pemilu 2024 (Studi Kasus Instagram Media @pinterpolitik)
Salah satu media mainstream yang kerap menyuguhkan berita-berita khususnya dalam menyongsong rencana Pemilu 2024 ialah akun instagram @pinterpolitik. Akun @pinterpolitik diciptakan sebagai media alternatif yang mampu mengupas berita politik dengan sudut pandang yang berbeda, tajam, dan lengkap. Dalam sehari @pinterpolitik dapat mengunggah hingga 8 postingan dengan isu politik yang berbeda-beda. Sejalan dengan itu, warganet juga memberikan respons terhadap pemberitaan pemilu 2024 di instagram tersebut. Aktivitas warganet di akun sosial instagram @pinterpolitik itu membuat peneliti tertarik melakukan penelitian tentang pemilu 2024. Pada penelitian ini, peneliti menggunakan metode kualitatif dengan netnografi. Teknis pengumpulan data yang dilakukan melalui observasi online, analisis isis, dan dokumentasi. Dari hasil penelitian tersebut ditemukan selama rentan waktu 25 Desember 2021 hingga 25 Desember 2022 netizen cenderung memberikan respon berupa kritik dan satire terkait pemberitaan pemilu 2024. Selain itu, muncul pula figure-figur baru yang diwacanakan akan meramaikan gelaran Pemilu 2024. Dari figur-figur tersebut, Ridwan Kamil menjadi sosok yang banyak dibicarakan dan memiliki elektabilitas yang lebih tinggi dari calon lainnya.
Kata Kunci: Respons, Warganet, Pemilu 202
Sentiment analysis on Malaysians’ perception about climate change issues based on twitter using support vector machine / Muhammad Abdul Hadi Ahmad Zailani
Get PDFClimate change presents a global challenge necessitating effective mitigation and adaptation strategies. Public sentiment, a potent driver of climate policies, can be comprehended through Natural Language Processing (NLP) techniques such as sentiment analysis. However, extracting and analyzing data from diverse platforms like Twitter poses challenges due to its richness in opinions. This research crafts a web-based system that employs sentiment analysis using Support Vector Machine (SVM) to visualize Malaysian perceptions of climate change. The study adopts a modified waterfall methodology, progressing through phases including requirements gathering, system design, implementation, testing, and documentation. The system acquires and preprocesses Twitter data, employing SVM for sentiment analysis. Attaining an 84.5% classification accuracy, the model effectively gauges public sentiment, with 42.1% negative, 37.4% positive, and the rest neutral sentiments. The prevalence of negative sentiments serves as a strong indication for decision-makers to reassess and improve their approach in addressing climate change, emphasizing the urgency for effective and sustainable mitigation strategies. However, limitations are encountered, including the reliance on data scraping with language parameter adjustments, potentially impacting sentiment analysis accuracy due to linguistic disparities. Moreover, recent Twitter updates imposing reading limits and scraping prevention measures disrupt data acquisition, introducing gaps that may impact sentiment analysis representativeness. Future work recommendations encompass exploring multiple data scraping libraries for language-specific data collection and amalgamating data from diverse social media networks to yield a comprehensive understanding of public sentiment on climate change, thereby enhancing the study's findings and providing broader insights for policy formulatio
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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