Video Transcripts Research Articles

Roasting Officials in Humorous Discourse by Kiki Saputri: A Critical Discourse Analysis

This research aims to describe critical discourse analysis, identify classifications based content within discourse of Kiki Saputri official roasting, and the use of implicature official roasting within humorous discourse by Kiki Saputri. This research was qualitative descriptive, data in this research were Kiki Saputri speech and roasting video transcription based on the event of Stand Up in Kompas Tv and Lapor Pak in Trans7. Data collection used listening, taking notes and documentation techniques, data validity used triangulation theory and data triangulation, data analysis used referential match method in interactive model and critical discourse analysis as the data analysis. The results showed the use of hak kekuasaan oleh state officials legitimacy, these state officials were more interested in managing political problems than citizen problems and they were more sensitive about party members’ problems than public problems. In this critical discourse, it was obtained that Kiki, as a comedian, also criticized government related to their work that, according to her, poor government was lack of taking care the poor people, also education problems, citizen needs, and related to social gaps in welfare of poor people which had been not met, yet. Context as a comedian who are the representation of poor people to voice out their feeling toward government who has power through entertaining critical humour.

Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content.

The COVID-19 pandemic had a devastating global impact. In the United States, there were >98 million COVID-19 cases and >1 million resulting deaths. One consequence of COVID-19 infection has been post-COVID-19 condition (PCC). People with this syndrome, colloquially called long haulers, experience symptoms that impact their quality of life. The root cause of PCC and effective treatments remains unknown. Many long haulers have turned to social media for support and guidance. In this study, we sought to gain a better understanding of the long hauler experience by investigating what has been discussed and how information about long haulers is perceived on social media. We specifically investigated the following: (1) the range of symptoms that are discussed, (2) the ways in which information about long haulers is perceived, (3) informational and emotional support that is available to long haulers, and (4) discourse between viewers and creators. We selected YouTube as our data source due to its popularity and wide range of audience. We systematically gathered data from 3 different types of content creators: medical sources, news sources, and long haulers. To computationally understand the video content and viewers' reactions, we used Biterm, a topic modeling algorithm created specifically for short texts, to analyze snippets of video transcripts and all top-level comments from the comment section. To triangulate our findings about viewers' reactions, we used the Valence Aware Dictionary and Sentiment Reasoner to conduct sentiment analysis on comments from each type of content creator. We grouped the comments into positive and negative categories and generated topics for these groups using Biterm. We then manually grouped resulting topics into broader themes for the purpose of analysis. We organized the resulting topics into 28 themes across all sources. Examples of medical source transcript themes were Explanations in layman's terms and Biological explanations. Examples of news source transcript themes were Negative experiences and handling the long haul. The 2 long hauler transcript themes were Taking treatments into own hands and Changes to daily life. News sources received a greater share of negative comments. A few themes of these negative comments included Misinformation and disinformation and Issues with the health care system. Similarly, negative long hauler comments were organized into several themes, including Disillusionment with the health care system and Requiring more visibility. In contrast, positive medical source comments captured themes such as Appreciation of helpful content and Exchange of helpful information. In addition to this theme, one positive theme found in long hauler comments was Community building. The results of this study could help public health agencies, policy makers, organizations, and health researchers understand symptomatology and experiences related to PCC. They could also help these agencies develop their communication strategy concerning PCC.

THE SPEECH RATE AND VOCABULARY PROFILE OF TED-ED VIDEOS AS EXTENSIVE LISTENING MATERIALS FOR EFL LEARNERS

Listening proficiency is essential in language acquisition, yet both its classroom time and research are overshadowed by other skills, such as speaking and reading. To tackle the issue of limited classroom time, extensive listening is one of the most convenient and effective solutions. Selecting the materials, however, needs an equally extensive effort; especially for the authentic ones. Therefore, this study aims to investigate the speech rate and vocabulary level of TED-Ed videos as one of the sources of authentic material for extensive listening to determine their suitability for EFL learners. The research used a quantitative descriptive design with purposive sampling. The data collection of Speech Rate is conducted by transcribing the sample videos and dividing the number of words by the length of the video, and the result is measured in terms of WPM (Word Per Minute). To get the vocabulary level, the video transcripts are put into the Vocabkitchen website to analyze the vocabulary CEFR level for each word. From the analysis, the average speech rate of TED-Ed videos is 147.4 WPM and it is suitable for all levels of EFL learners, including beginner level. Meanwhile, the CEFR level of the vocabulary is more suitable for intermediate EFL learners and beyond.

Towards job screening and personality traits estimation from video transcriptions

In recent years, natural language processing (NLP) has gained new territory beyond its traditional use in text mining applications. This paper shows the effectiveness of NLP techniques in assessing the apparent human personality from his/her video transcript, building a bridge between NLP and computer vision-based reasoning. In this paper, a new deep learning model using attention mechanism and bidirectional LSTM layers for estimating the Big-five personality traits is provided and then tested on ChatLearn video dataset. The robustness of the approach is then tested by generalizing the method to two other datasets (B5 corpus and Mypersonality datasets). Several empirical evaluations taking into account the various inputs of the data processing pipeline have been performed to yield optimal model parameters. The developed model is tested on the APA’2016 competition dataset from Chalearn V2 Challenge Workshop for both Big-five personality trait estimation and interview score estimation. We achieved an average of 89.27% in personality trait recognition rate and 89.16% score in the Job Interview challenge. Similar trends of high accuracy score estimation is held for B5-corpus and MyPersonality datasets as well. The results outperformed several state-of-art approaches, demonstrating our approach’s feasibility in extending the computer vision approach of first impression personality to natural language processing. This opens up a new direction in multimedia analysis.

Framing, moral foundations and health taxes: interpretive analysis of Ethiopia’s tobacco excise tax policy passage

BackgroundIn 2019–2020, the Ethiopian government ratified a suite of legislative measures that includes levying a tax on tobacco products. This study aims to examine stakeholders’ involvement, position, power and perception...

The identification of YouTube videos that feature the linguistic features of English informal speech

YouTube is becoming an increasingly popular entertainment platform, with videos catering to a wide range of interests. If L2 users are to become proficient in the primary form of language, conversation, then the affordances created by YouTube videos containing informal speech could be very useful. In the current study a near-random corpus of 2602 YouTube video transcripts was compiled and 200 randomly selected texts from the Spoken BNC2014 (Love et al., 2017) were used as a reference corpus representing informal spoken English. The texts were tagged with 67 linguistic features as part of an additive multi-dimensional analysis. The dimension scores for each text were used in a cluster analysis to investigate which texts clustered with the Spoken BNC2014 texts. A two-cluster solution was chosen with 666 YouTube texts and 171 Spoken BNC2014 texts in one cluster, and the remaining texts in the other cluster. A small sample of texts from each cluster was analysed in detail. It is shown that this method has the potential to identify videos featuring informal speech and that some videos with similar categories have a very different linguistic style.

Text Summarization for Education in Vernacular Languages

Abstract: This project proposes a video summarizing system based on natural language processing (NLP) and Machine Learning to summarize the YouTube video transcripts without losing the key elements. The quantity of videos available on web platforms is steadily expanding. The content is made available globally, primarily for educational purposes. Additionally, educational content is available on YouTube, Facebook, Google, and Instagram. A significant issue of extracting information from videos is that unlike an image, where data can be collected from a single frame, a viewer must watch the entire video to grasp the context. This study aims to shorten the length ofthe transcript of the given video. The suggested method involves retrieving transcripts from the video link provided by the user and then summarizing the by using Hugging Face Transformers and Pipelining. The built model accepts video links and the required summary duration as input from the user and generates a summarized transcript as output. According to the results, the final translated was obtained in less time when compared with other proposed techniques. Furthermore, the video’s central concept is accurately present in the final without any deviations.

Alih Kode Dan Campur Kode Dalam Video Youtube Nessie Judge

The purpose of this study is to describe the forms of code switching and code mixing that occur in Nessie Judge's YouTube videos. This research method uses a qualitative descriptive method. The data collection technique in this study was the listening technique and the note taking technique, namely by listening and observing the contents of Nessie Judge's YouTube videos and then noting the forms of code switching and code mixing that occurred. The source of this research data comes from one of Nessie Judge's YouTube videos. In this study, data analysis techniques included re-reading video transcripts, recording conversations involving code-mixing and code-switching, and drawing conclusions. The results of this study indicate that there are 19 data in the form of code switching and 20 data in the form of code mixing. Code switching and code mixing are caused by speakers and speech partners who are both able to use more than two languages.

THE REASONS OF MALE AND FEMALE’S WAY IN COMMUNICATION USED BY INDONESIAN FOOD VLOGGER

This article was discussed about the reasons of male and female’s way in communication by Indonesian food vlogger “Ken and Grat” based on Basow and Rubenfield theory. They were assertive, power-hungry, expressive, tentative, and polite. This article was aimed to found the reasons why the food vlogger “Ken and Grat” used the ways in the way they are in communication. This article used Lakoff theory to found that reasons. This article applied descriptive qualitative method. The data of this research were taken from the vlog videos on youtube and the video transcript. The results have revealed that there are four reasons why the food vlogger “Ken and Grat” used the ways in the way they are in communication are namely culture, stereotype, confidence, and society. And from all of the reasons, the most dominant reason was society both by male and female.

‘Translanguaging reminds me to stay humble’: impact of teacher candidates’ pedagogical knowledge of translanguaging on professional identities

This study examined general education teacher candidates (TCs)’s PK of translanguaging and how it shaped their professional identity. Adopting the reflective framework, data were triangulated and included the TCs’ responses from (1) two reflective assignments, (2) a class assignment, and (3) video transcripts of a final self-assessment. The findings demonstrated the TCs’ PK of translanguaging had a positive impact on their teacher identity construction. Understanding the pedagogy from an asset-based perspective and gaining experience in its implementation, the TCs developed a deep appreciation for translanguaging. They believed pedagogical translanguaging is an approach to provide equitable education for emergent multilinguals and promotes all students’ learning and appreciation for diversity. Such a significant growth was greatly due to the professor’s intentional course design that reflected the principles of pedagogical translanguaging and the alignment with the TCs’ field experience. The TCs also expressed a desire to deepen their PK of translanguaging to increase their confidence in its implementation. As such, I argue that to normalize multilingualism, not only is it important to introduce translanguaging to all TCs early on in a teacher preparation program, ensuring they have adequate opportunities to incorporate translanguaging as their pedagogical repertoire expands, but course design needs to be intentional and strategic.

과업 중심 교수법을 활용한 유아 영어 읽기⋅쓰기 활동 사례 연구

Objectives This study aims to explore how task-based English instruction applied to young EFL children‘s Engliish classes and how it affects reading and writing achievements and young children’s interest in English. Methods Ten seven-year-old students in C International School in Yongin-is, Gyeongi-do participated in eight task-based English classes held twice a week for four weeks. The task was to send gifts to children in Kenya and to write letters in English, and the pre- and post-test was conducted 1:1 with the researcher. Both Korean and English homeroom teachers were interviewed using semi-structured interviews before and after the task-based classes taught by the researcher. Results After conducting pre- and post-tests before and after classes, it was found that the reading and writing skills of young children were either maintained or improved. Furthermore, Analysis of class video transcription data and teacher interviews showed that young children maintained interest in English from the start to the end of task, and interest in foreign culture increased. Conclusions While previous studies have mainly concentrated on the communication functions of speaking and listening among elementary school students, this study is significant in its focus on how task-based English classes for young children impact their development of English reading and writing skills.

‘I’ve grown so much more confidence in my actual instruction’: examining teacher candidates’ pedagogical knowledge growth in translanguaging

This study examined a group of English as a New Language teacher candidates’ (TCs’) pedagogical knowledge (PK) of translanguaging in a teacher preparation course. We deep-dived into exploring how their translanguaging stance and design knowledge evolved over a course of a semester. Using a participatory research approach, data were collected through the TCs’ weekly assignments, transcripts of final self-assessment videos, and field notes of all the course artifacts. Findings indicated that the TCs’ translanguaging stance and design knowledge grew significantly. By the end of the semester, their translanguaging design knowledge was supported and guided by their stance. The TCs noted their PK of supporting emergent bilingual students expanded and transformed because of their understanding of translanguaging. The findings also showed that co-constructing knowledge with the prof essor and peers contributed a great deal to the TCs’ PK growth. For these reasons, our study confirms that PK is dynamic and that advancing TCs’ pedagogical practices requires teacher educators’ intentional design of classroom activities and responsiveness to the learning process involving TCs. Widening the literature on translanguaging, we affirm that TCs can gradually expand their entire pedagogical repertoires through deepening their knowledge of translanguaging.

A Theory of Product-Form Strategy: When to Market Know-How, Components, or Systems?

Commercializing technological innovations is a strategic goal in entrepreneurial ventures and established firms. A fundamental decision that remains understudied in this context is the form in which the innovation is to be commercialized. The authors term this decision the firm's “product-form strategy” for the innovation. In Study 1, they employ a theories-in-use approach and, using in-depth interviews and field observations with technology entrepreneurs and angel investors, develop a theory of product-form strategy—to market the innovation as know-how, a component, or a system—and identify the primary drivers of this choice. The theory is tested using a multimethod, multicontext approach. In Study 2, the authors use proprietary investment proposals generated by entrepreneurial ventures when they seek support from angel investors. In Study 3, they test the theory using video transcriptions of technology proposals from the television show Shark Tank. In Study 4, the authors assess the internal validity of the theory with active angel investors as subjects. They find consistent support for their theory and conclude with implications for theory and managerial practice.

The use-the-best heuristic facilitates deception detection.

Decades of research have shown that people are poor at detecting deception. Understandably, people struggle with integrating the many putative cues to deception into an accurate veracity judgement. Heuristics simplify difficult decisions by ignoring most of the information and relying instead only on the most diagnostic cues. Here we conducted nine studies in which people evaluated honest and deceptive handwritten statements, video transcripts, videotaped interviews or live interviews. Participants performed at the chance level when they made intuitive judgements, free to use any possible cue. But when instructed to rely only on the best available cue (detailedness), they were consistently able to discriminate lies from truths. Our findings challenge the notion that people lack the potential to detect deception. The simplicity and accuracy of the use-the-best heuristic provides a promising new avenue for deception research.

Using the Corpus of North American Spoken English to explore regional variation in millions of eɪ diphthongs

Increases in the quality of automatic speech recognition (ASR) systems and forced alignment algorithms have opened up new horizons for the study of acoustic properties of naturalistic speech (Coto-Solano et al., 2021). This paper describes the procedures used for the automatic extraction and alignment of audio and ASR transcript excerpts containing eɪ diphthongs from the Corpus of North American Spoken English, a 1.3-billion-word corpus of geolocated ASR transcripts of videos uploaded to YouTube channels of local government entities. In total, more than 2 million eɪ tokens were extracted from naturalistic speech in over 2000 locations in the US and Canada. The pipeline utilizes python code to extract audio segments from the DASH manifest of YouTube videos, then feeds them together with the corresponding transcript excerpt to the Montreal Forced Aligner. Targeted segments are then filtered using functions in Parselmouth, a python port of Praat. Because the underlying corpus is searchable and words are annotated with timing information, the extraction procedure is suitable for retrieving acoustic data from a range of naturalistic speech configurations (for example from discussions of particular topics or in the context of specific utterance types such as questions or replies). The corpus contains a variety of speech genres, making it suitable for studies of geophonetic and sociophonetic variation, and pipelines can be constructed to target specific phenomenona in YouTube videos, depending on the underlying research question.

자폐스펙트럼장애(ASD) 아동의 놀이치료에서 놀이성 변화과정에 대한 질적사례연구 : 플로어타임 중재를 중심으로

This is a descriptive case study that explores the process of change in playfulness of children with Autism Spectrum Disorder (ASD) during play therapy. This study recruited one child with ASD and included two sessions of pre-developmental evaluation and play evaluation, seven sessions of play therapy intervention, and one session of post-play evaluation. This study analyzed the quantitative and qualitative data to comprehensively understand the process of change in playfulness of the participant. Quantitative data was collected by a group of raters who measured the playfulness in each play therapy session. Qualitative data was collected by analyzing video transcripts of evaluation and play therapy sessions. The results indicate that at the end of the intervention, the total score and the sub-factors of the participant maintained improved scores compared to the first session. In the qualitative analysis, 303 meaning units were derived and classified into 13 sub categories and 5 core categories. The core categories include ‘You exist but not exist’, ‘You exist’, ‘I want’, ‘You and me’, and ‘You and me play’.

Discourse of Women's Sexuality in the Lecture of Ustaz Khalid Basalamah

The purpose of writing this study is to describe how Ustaz Khalid Basalamah views the female body and what kind of patriarchal language is used by Ustaz Khalid Basalamah. The method used is a qualitative analysis using analytical theory. The data (7-minute Youtube video transcript) was taken based on deliberate stratified sampling and analyzed using the Halliday MAK transitivity system and the three-domain interaction of JR Martin and PRR White's valuation theory. It was found that from the language of Khalid Basalamah's lectures, the discourse on the female body was operationalized based on the idea of tabarruj in Islam. This operation largely spreads relational processes and negative evaluations in intensive heteroglossia expression. Basalamah, in her talk, assesses women's behavior through the purpose of women dressing up and embellishing; patriarchal language towards women's bodies in her lectures uses more material processes, followed by relational processes. With this Basalamah places women's bodies as an important discourse to be supervised and controlled by men. Furthermore, it means that men have power over women's bodies, while women must obey their husbands.

Enhancing EFL University Students’ Readiness for Learning Academic Content in English: the Effectiveness of Combining MOOCs with Data-Driven Learning Activities in an English Language Classroom

The increase in English-medium instruction (EMI) courses in higher education has created many linguistic challenges for EFL students. This study was designed to test the effectiveness of using massive online open courses (MOOCs) and data-driven learning activities to prepare EFL students for learning academic content in English. The participants were 33 freshman students enrolled in an English course at a university in Taiwan. Nine English-taught MOOCs were pre-selected by the instructor, and a corpus of the transcripts of the course videos was built. The students were assigned to take one MOOC with group members over 4 weeks. Every week, before watching the video recordings of the MOOC, they explored the corpus to identify words that interested them and gathered with group members to discuss the words and predict the course content based on those words. After watching the course videos, they gathered again to discuss their learning experiences. The results of the pre-test and post-test showed that the participants made significant progress in their academic listening abilities. The results of the questionnaires suggested that integrating MOOCs, data-driven learning, and group discussion activities may also help learners acquire other abilities needed in EMI contexts.

Опыт создания и использования лингвострановедческих материалов по русскому языку как иностранному (на примере проекта «MULTI_Saratov»)

Based on the study conducted by the Department of the Russian Language, Speech Communication and Russian as a Foreign Language, Saratov State University, the possibilities of using linguistic and cultural video materials in the practical aspect of teaching Russian as a foreign language (RFL) are revealed. It is noted that the regional and local materials provide students’ immersion in the cultural and historical environment and facilitate the process of their adaptation. The authors describe the stages of the project implementation, which include: conducting a course of offline and online excursions with the themes of the historical and cultural past of Saratov; creating small video clips adapted for foreign students based on these tours; designing worksheets accompanying each video. When describing the process of creating videos, special attention is paid to ways of adapting the material for students whose Russian is at the B1 level. The choice of the level is due to the fact that B1 is required for admission to Russian universities for undergraduate programs. The article also discusses the principles of developing worksheets containing transcripts of videos, lexical and grammatical information, as well as tasks for its consolidation. The authors believe that such a training kit, firstly, introduces students to the history and culture of Saratov, and, secondly, it promotes the formation and development of communicative competence.

Toward Defining and Assessing Creativity in Sandbox Games

ABSTRACT Digital sandbox games such as Minecraft can be used to assess and support creativity. Doing so, however, requires an understanding of what is deemed creative in this game context. One approach is to understand how Minecrafters describe creativity in their communities, and how much those descriptions overlap with the established definitions of creativity in the literature. Based on prior work, we used a modified rubric for assessing a creative product in this study. We investigated the evaluation of a total of 52 Minecraft builds (i.e., structures that are created by the Minecrafters) from five YouTube videos. In addition to qualitatively coding the video transcripts, we also used natural language processing (NLP) for automatic coding of our data at scale. Our qualitative analysis of the YouTube transcripts revealed evidence for all but one dimension (i.e., humor) of the creativity rubric we used in our dataset. In addition, two new dimensions of creativity emerged in our qualitative coding process (i.e., realism and effort). Finally, the NLP model that we developed achieved about 80% accuracy in distinguishing the sentences that showed evidence of creativity. This study provides insights for research and educational practices of creativity in Minecraft or similar game or simulation environments.