scholarly journals Adding a digital dimension to fan studies methodologies

2020 ◽  
Vol 33 ◽  
Author(s):  
Suzanne R. Black
Keyword(s):  
Decision Trees ◽  
Word Frequency ◽  
Computational Methods ◽  
Frequency Analysis ◽  
Topic Modeling ◽  
Fan Studies ◽  
Fan Fiction ◽  
Fiction Writers ◽  
Digital Narrative ◽  
A Site

Digital fan fiction challenges the sovereignty of the literary object and necessitates a reevaluation of textuality. Fan fiction may be taken as a form of networked digital narrative that exists electronically and shares features with the printed book. With a focus on the paratext as a site of transaction between fan fiction writers and readers, it is possible to attend to a negotiation between work and text. By using computational methods—word frequency analysis, topic modeling, and decision trees—to analyze fan fiction paratexts as they are used on the online fan fiction repository Archive of Our Own, it is possible to reevaluate the fan fiction paratext and the notion of the fan fiction text.

scholarly journals Text mining, Hermione Granger, and fan fiction: What's in a name?

2021 ◽  
Vol 36 ◽  
Author(s):  
Rebecca Leigh Rowe ◽  
Tolonda Henderson ◽  
Tianyu Wang
Keyword(s):  
Text Mining ◽  
Social Systems ◽  
Harry Potter ◽  
Gender And Sexuality ◽  
Fan Studies ◽  
Social Constructions ◽  
Fan Fiction ◽  
Specific Reading ◽  
The Social ◽  
Fiction Writers

When fans rewrite characters, how do they engage that character's identity and the social constructions around it? Fan fiction writers resist, replicate, and create oppressive social systems by changing characters between published and fan texts. As such, fan studies scholars have long been interested in how fans construct characters, an interest that has often been paired with readings of race, gender, and sexuality. Digital humanities can help confirm and nuance extant fan studies scholarship around specific characters popular in fan fiction. We used Word2Vec software to mine the text of 450 pieces of fan fiction based on J. K. Rowling's Harry Potter series. By focusing on the depiction of Hermione Granger in both Rowling's novels and Harry Potter fan fiction, we tested how text mining character names can reveal properties closely tied to a specific character through the relationships between the target name and other characters. Analysis via Word2Vec found that "Hermione" is used grammatically and contextually differently in the books (in which she is most like Harry and Ron) than in our fan fiction corpus (in which she is most like other girls/women). This difference suggests that these fans have a specific reading of Hermione that is communally understood even if Rowling's diction offers a different reading.

A Critical Study of Stephen King and Horror Fiction

2019 ◽  
Vol 7 (5) ◽  
pp. 23
Author(s):  
Dr. Sudhir V. Nikam ◽  
Mr. Rajkiran J. Biraje
Keyword(s):  
Research Problem ◽  
Extensive Study ◽  
Serial Killers ◽  
Critical Study ◽  
Research Attention ◽  
Stephen King ◽  
Special Place ◽  
Fiction Writers ◽  
Horror Fiction ◽  
A Site

This present research undertakes the extensive study of horror fiction genre with reference to the select novels of one of the finest and celebrated horror fiction writers of all time, Stephen King. This paper is a substantial assessment of the select horror fiction of King. The research problem revolves extensively around the word fear. Stephen King has conjured up the images of most horrific creatures, monsters, places, and stories, and some of the most enduring villains in fiction. These unimaginable evil beings test the limits of the protagonist. Some of these villains have gone to the extent of becoming as famous (or infamous) as the writer himself. Many of Stephen King villains are monsters of the human variety such as serial killers, power hungry despots, nihilists, etc. His most memorable and monumental characters are the supernatural ones who use their dark powers to twist the orderly world around them into a special place of chaos and pain. It has been assumed that the horror elements in the fiction of Stephen King are the result of his strategic use of supernaturalist and non-supernaturalist elements. The techniques that he uses to evoke horror in reader have been treated as a site for research attention by the researcher.

Automatic Keyword Extraction Algorithm and Implementation

2010 ◽  
Vol 44-47 ◽  
pp. 4041-4049 ◽  
Author(s):  
Hong Zhao ◽  
Chen Sheng Bai ◽  
Song Zhu
Keyword(s):  
Search Engine ◽  
Word Frequency ◽  
Search Engines ◽  
Keyword Extraction ◽  
Web Page ◽  
C Language ◽  
Search Engine Optimization ◽  
Page Ranking ◽  
Extraction Algorithm ◽  
A Site

Search engines can bring a lot of benefit to the website. For a site, each page’s search engine ranking is very important. To make web page ranking in search engine ahead, Search engine optimization (SEO) make effect on the ranking. Web page needs to set the keywords as “keywords" to use SEO. The paper focuses on the content of a given word, and extracts the keywords of each page by calculating the word frequency. The algorithm is implemented by C # language. Keywords setting of webpage are of great importance on the information and products

Voluntary simplicity: a content analysis of consumer comments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Petek Tosun ◽  
Selime Sezgin
Keyword(s):  
Content Analysis ◽  
Word Frequency ◽  
Frequency Analysis ◽  
Personal Growth ◽  
Well Being ◽  
Three Dimensions ◽  
Content Type ◽  
Less Is More ◽  
Self Sufficiency ◽  
Meaningful Experiences

Purpose The voluntary simplification (VS) movement has stemmed from Western societies and gained momentum in the 1980s, but the trend has failed to become a primary perspective for most consumers. The accompanying concepts of conscious consumption, minimalism and accepting that sometimes “less is more” are still vivid in the digital era. The purpose of this study is to provide a deep and recent understanding of the consumer comments about minimalism in Turkey and examine their associations with the prominent themes in the VS literature. Design/methodology/approach Consumer comments posted on online platforms were analyzed by content analysis and word frequency analysis. Findings Consumer comments were in parallel to the themes in the VS literature and were classified under personal growth, material simplicity, sustainability, proper technology usage and self-sufficiency categories. Personal growth, material simplicity and sustainability were the first three dimensions mentioned. The prominent sub-themes that emerge from data were psychological well-being, inner peace, freedom, meaningful experiences and getting rid of belongings. A word frequency analysis pointed out that “life” and “owning” were the evident words in the personal growth category, “purchasing things” were mostly mentioned in the material simplicity category and “plastic litter” and “excessive consumption” were the prominent concerns in the sustainability category. Originality/value VS required further research in different national contexts. Besides, an analysis of the dimensions of VS was needed. This study contributes by providing recent and rich findings from a developing country, connecting them with the VS themes in the literature and suggesting a conceptual framework enriched by sub-themes that emerged from data.

scholarly journals New Normal Policy: Promosi Kebijakan Pariwisata Dalam Rangka Percepatan Penanganan Dampak Covid-19

2021 ◽  
Vol 5 (1) ◽  
pp. 20-33
Author(s):  
Dyah Mutiarin ◽  
Sri Utami ◽  
Janianton Damanik
Keyword(s):  
Content Analysis ◽  
Word Frequency ◽  
Frequency Analysis ◽  
Qualitative Content Analysis ◽  
New Normal ◽  
Health Safety

Covid 19 memunculkan ketidakpastian dan perubahan yang sangat konstan sehingga kebutuhaninformasi berupa kebijakan pemerintah menjadi sangat penting untuk disampaikan kepada masyarakat.Dalam makalah ini dideskripsikan mengenai kebijakan pemerintah bidang pariwisata, yaitu: programmitigasi dan pemulihan sektor pariwisata pada masa transisi kenormalan baru dalam rangka percepatanpenanganan dampak covid-19. Kebijakan pemerintah tersebut disampaikan kepada masyarakat melaluiakun media sosial official Kemenparekraf, salah satunya adalah akun twitter official @Kemenparekraf.Untuk mengetahui sejauh mana kesesuaian kebijakan yang disusun dan yang disampaikan kepadamasyarakat, dilakukan qualitative content analysis (QCA) terhadap akun @Kemenparekraf,menggunakan NVivo12 dengan fitur antara lain the management, word frequency analysis, dan visualisasidata informal. Dari 807 (delapan ratus tujuh) tweet akun @Kemenparekraf yang diposting sejak Juni s.dDesember 2020, hanya terdapat 3 (tiga) hashtag/kata yang dapat langsung menjelaskan kebijakan., yaitu#banggabuatanindonesia untuk kegiatan Anugerah Bangga Buatan Indonesia (BBI) 2020,#indonesiacare untuk Sertifikasi InDOnesia CARE (I Do Care), dan chse untuk Dukungan CHSE (Cleanliness,Health, Safety, Environment). Penggunaan hashtag/kata dalam tweet masih belum dapat menjelaskankebijakan secara keseluruhan. Penelitian ini dapat dilanjutkan dengan membandingkan target, outputprogram dan dampaknya kepada pelaku pariwisata dan ekonomi kreatif.

Computer selection of keywords using word-frequency analysis

1969 ◽  
Vol 20 (3) ◽  
pp. 227-233 ◽  
Author(s):  
John M. Carroll ◽  
Robert Roeloffs
Keyword(s):  
Word Frequency ◽  
Frequency Analysis ◽  
Computer Selection ◽  
Selection Of

scholarly journals Benefits of quantitative and doctrinal methodological approaches to fan studies research

2020 ◽  
Vol 33 ◽  
Author(s):  
Ruth Flaherty
Keyword(s):  
Copyright Law ◽  
Fan Studies ◽  
Fan Fiction ◽  
Berne Convention ◽  
Legal Research ◽  
Fair Dealing ◽  
Empirical Research Methods ◽  
Methodological Approaches ◽  
Special Case

This discussion of the main practices of both legal research and fan studies research explores their key differences and similarities to demonstrate that there are important conclusions that can be drawn from the discourse between the two. The methodology of this research into copyright and fan fiction will be used as a case study to demonstrate how well these fields intersect. This research investigates whether transformative works of fan fiction should be covered by the new fair-dealing exception for pastiche within UK copyright law (Copyright Designs and Patents Act 1988), similar to parody. To discuss this, my research investigates whether it can be said empirically and doctrinally that fan fiction could be classified as a special case that does not adversely affect the rights holders' interests, as required by Article 13 of the Agreement on Trade-Related Aspects of Intellectual Property Rights and Article 9 of the Berne Convention for the Protection of Literary and Artistic Works. By adding doctrinal and empirical research methods to fan studies, the argument can be made that fan fiction is not harmful to the underlying work and does not interfere with the copyright holders' normal exploitation of that work, and as such should be permitted as fair dealing.

scholarly journals Follow the trope: A digital (auto)ethnography for fan studies

2020 ◽  
Vol 33 ◽  
Author(s):  
Milena Popova
Keyword(s):  
Sexual Consent ◽  
Fan Studies ◽  
Fan Fiction ◽  
Digital Environment ◽  
Field Site ◽  
Digital Ethnography ◽  
Two Factors ◽  
Auto Ethnography ◽  
Theoretical Issues

In this paper I investigate the methodological challenges posed by the intersection of two factors commonly found in some types of fan studies research: studying a community one is already a member of and that community existing in a digital setting. I propose an approach shaped by traditional ethnography, digital ethnography, and autoethnography that is theoretically grounded, takes into account both practical and theoretical issues, and seeks to leverage the strengths of the digital environment and the ethnographer's knowledge of the community they are researching. I pay particular attention to the role and positionality of the ethnographer in this environment, as well as the process of field site construction, which I conceptualize as a journey. To illustrate this follow-the-trope approach in action, I present a case study based on my research on sexual consent in fan fiction.

scholarly journals Fan fiction comments and their relationship to classroom learning

2021 ◽  
Vol 35 ◽  
Author(s):  
Lauren Rouse
Keyword(s):  
Critical Analysis ◽  
Topic Modeling ◽  
Digital Humanities ◽  
Literary Analysis ◽  
Close Reading ◽  
Fan Fiction ◽  
Classroom Learning ◽  
Pleasure Reading ◽  
Web Scraping ◽  
Reader Comments

Reader comments appended to online fan fiction stories provide benefits as close reading and critical analysis tools. Fan fiction provides a space where fans can develop literary analysis skills and literacy through their interactions in comments. This multimethod study combined the interview of a fan author with various digital humanities methods to closely study the value of comments. A web scraping tool was used to collect comments, and documentary, textual, and terminological analyses were performed alongside topic modeling to assess the frequency of words associated with learning. The co-occurrence of certain words was studied to understand the assessments and analyses that readers were performing in their comments. The study found that fan fiction readers apply strategies of literary analysis to their pleasure reading.

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