Digital Scholarship in the Humanities最新文献

Social network analysis of the Babylonian Talmud 巴比伦塔木德经》的社会网络分析

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-07-18 DOI: 10.1093/llc/fqae037

Michael L Satlow, Michael Sperling

引用次数: 0

Unraveling Eileen Chang’s stylistic multiverse: insights from multivariate analysis with multifactorial design 解读张爱玲的多元文体：多因素设计多元分析的启示

IF 0.7 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-07-16 DOI: 10.1093/llc/fqae040

Kan Wu, Defeng Li

引用次数: 0

Ancient classical theatre from the digital humanities: a systematic review 2010–21 数字人文学科中的古代古典戏剧：2010-21 年系统回顾

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-06-29 DOI: 10.1093/llc/fqae033

Roxana Beatriz Martínez Nieto, Monika Dabrowska

引用次数: 0

Personality prediction via multi-task transformer architecture combined with image aesthetics 通过多任务转换器架构结合图像美学进行人格预测

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-06-22 DOI: 10.1093/llc/fqae034

Shahryar Salmani Bajestani, Mohammad Mahdi Khalilzadeh, Mahdi Azarnoosh, Hamid Reza Kobravi

{"title":"Personality prediction via multi-task transformer architecture combined with image aesthetics","authors":"Shahryar Salmani Bajestani, Mohammad Mahdi Khalilzadeh, Mahdi Azarnoosh, Hamid Reza Kobravi","doi":"10.1093/llc/fqae034","DOIUrl":"https://doi.org/10.1093/llc/fqae034","url":null,"abstract":"Social media has found its path into the daily lives of people. There are several ways that users communicate in which liking and sharing images stands out. Each image shared by a user can be analyzed from aesthetic and personality traits views. In recent studies, it has been proved that personality traits impact personalized image aesthetics assessment. In this article, the same pattern was studied from a different perspective. So, we evaluated the impact of image aesthetics on personality traits to check if there is any relation between them in this form. Hence, in a two-stage architecture, we have leveraged image aesthetics to predict the personality traits of users. The first stage includes a multi-task deep learning paradigm that consists of an encoder/decoder in which the core of the network is a Swin Transformer. The second stage combines image aesthetics and personality traits with an attention mechanism for personality trait prediction. The results showed that the proposed method had achieved an average Spearman Rank Order Correlation Coefficient (SROCC) of 0.776 in image aesthetic on the Flickr-AES database and an average SROCC of 0.6730 on the PsychoFlickr database, which outperformed related SOTA (State of the Art) studies. The average accuracy performance of the first stage was boosted by 7.02 per cent in the second stage, considering the influence of image aesthetics on personality trait prediction.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Language-based machine perception: linguistic perspectives on the compilation of captioning datasets 基于语言的机器感知：从语言学角度看字幕数据集的编制工作

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-06-22 DOI: 10.1093/llc/fqae029

Laura Hekanaho, Maija Hirvonen, Tuomas Virtanen

{"title":"Language-based machine perception: linguistic perspectives on the compilation of captioning datasets","authors":"Laura Hekanaho, Maija Hirvonen, Tuomas Virtanen","doi":"10.1093/llc/fqae029","DOIUrl":"https://doi.org/10.1093/llc/fqae029","url":null,"abstract":"Over the last decade, a plethora of training datasets have been compiled for use in language-based machine perception and in human-centered AI, alongside research regarding their compilation methods. From a primarily linguistic perspective, we add to these studies in two ways. First, we provide an overview of sixty-six training datasets used in automatic image, video, and audio captioning, examining their compilation methods with a metadata analysis. Second, we delve into the annotation process of crowdsourced datasets with an interest in understanding the linguistic factors that affect the form and content of the captions, such as contextualization and perspectivation. With a qualitative content analysis, we examine annotator instructions with a selection of eleven datasets. Drawing from various theoretical frameworks that help assess the effectiveness of the instructions, we discuss the visual and textual presentation of the instructions, as well as the perspective-guidance that is an essential part of the language instructions. While our analysis indicates that some standards in the formulation of instructions seem to have formed in the field, we also identified various reoccurring issues potentially hindering readability and comprehensibility of the instructions, and therefore, caption quality. To enhance readability, we emphasize the importance of text structure, organization of the information, consistent use of typographical cues, and clarity of language use. Last, engaging with previous research, we assess the compilation of both web-sourced and crowdsourced captioning datasets from various perspectives, discussing factors affecting the diversity of the datasets.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Shakespeare Machine: New AI-Based Technologies for Textual Analysis 莎士比亚机器基于人工智能的文本分析新技术

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-06-04 DOI: 10.1093/llc/fqae021

Carl Ehrett, Lucian Ghita, Dillon Ranwala, Alison Menezes

{"title":"Shakespeare Machine: New AI-Based Technologies for Textual Analysis","authors":"Carl Ehrett, Lucian Ghita, Dillon Ranwala, Alison Menezes","doi":"10.1093/llc/fqae021","DOIUrl":"https://doi.org/10.1093/llc/fqae021","url":null,"abstract":"\u0000 This article demonstrates a method using tools from the field of Natural Language Processing (NLP) to aid in analyzing theatrical texts and similar works. The method deploys pre-trained large language model neural networks to gather metadata for a text that is amenable to downstream statistical analyses surfacing patterns of interest in character dialogue. We specifically focus on Shakespeare’s works, collecting metadata in the form of sentiment and emotion scores for each line of his plays. In addition to sentiment and emotion scores produced by NLP models, we also directly gather metadata such as genre, line length, and character gender. We show how these metadata may be used to illuminate a number of interesting patterns in Shakespearean character which may be difficult to detect from a direct reading of the texts. We use these metadata to expose statistically significant relationships in Shakespeare between character gender and the emotional content of that character’s dialogue, controlling for genre. We also present here the publicly available dataset that we have compiled to perform these analyses. The data collects text from Shakespeare’s plays along with a variety of metadata useful for this and other forms of analysis of Shakespeare’s works. The methodology demonstrated here may be extended to other varieties of metadata provided by large NLP models.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Who wrote the first Constitutions of Freemasonry? 共济会的第一部章程是谁写的？

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-06-01 DOI: 10.1093/llc/fqae023

Róbert Péter, Alejandro Napolitano Jawerbaum

{"title":"Who wrote the first Constitutions of Freemasonry?","authors":"Róbert Péter, Alejandro Napolitano Jawerbaum","doi":"10.1093/llc/fqae023","DOIUrl":"https://doi.org/10.1093/llc/fqae023","url":null,"abstract":"This article addresses the problematic authorship of The Constitutions of the Free-Masons (1723). Traditionally associated with James Anderson, using stylometry, we examine whether and, if so, where John T. Desaguliers, the prime mover of early English institutionalized Freemasonry, contributed to this publication. Our corpus includes writings by Anderson, Desaguliers, and two contemporary Freemasons used as distractors. The transcribed works contain texts from different genres and of varying lengths. In our methodology, we employ a wide range of robust, multivariate, unsupervised, and cross-validated supervised tests, verified through significance testing, which can hopefully contribute to the establishment of standards for historical authorship attribution. Our results suggest, in line with historical evidence, that the legendary history of the Constitutions was most likely primarily authored by Anderson. However, several of the Charges including the first one ‘Concerning God and religion’, one of the most disputed texts in the history of Freemasonry, are closer to the style of Desaguliers. The General Regulations concerning the organization of the lodges, hitherto attributed to George Payne, played a fundamental role in spreading Freemasonry worldwide. Our analyses show that the stylistic affinity of fifteen of the thirty-nine regulations has a pronounced closeness to Anderson’s style, five align more closely with Desaguliers’ style. The authorship of the rest remains inconclusive partly due to the insufficient length of texts by Payne. These novel findings are also supported by a close reading of the Constitutions and other contemporary primary sources.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141191219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Research Methods for Translation Studies. Julie McDonough Dolmaya 翻译研究的数字化研究方法。朱莉-麦克唐纳-多尔玛亚

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-05-09 DOI: 10.1093/llc/fqae026

Yuhua Fang, Jinqiao Zhou

引用次数: 0

Parameterization of manipulative media discourse: possibilities and problems of automatic diagnosis 操纵性媒体话语的参数化：自动诊断的可能性和问题

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-05-08 DOI: 10.1093/llc/fqae024

Maigul Shakenova, Dybys Tashimkhanova, Gulvira Shaikova, Ulzhan Ospanova, Olga Popovich

{"title":"Parameterization of manipulative media discourse: possibilities and problems of automatic diagnosis","authors":"Maigul Shakenova, Dybys Tashimkhanova, Gulvira Shaikova, Ulzhan Ospanova, Olga Popovich","doi":"10.1093/llc/fqae024","DOIUrl":"https://doi.org/10.1093/llc/fqae024","url":null,"abstract":"The issue of quantitative measurement and automatic processing is a significant problem in determining the markers of the manipulative potential of media texts, since linguistic indicators are the basis of machine parameterization. The purpose of the research is to analyse the possibilities of the main language parameters of the manipulativeness of media discourse, which can be identified using machine learning. To achieve the research goals, the following methods were used: system, content analysis, computer modelling, and comparative. The results of the article determined that such language indicators as use of the subjunctive mood of verbs, capital letters, high frequency of use of the ‘not’ particle, punctuation marks, questions, or exclamations of a rhetorical nature, use of quotation marks for the purpose of irony, double negative sentences, use of the word ‘no’, and verbal structures calling to action act as computer classification parameters. In order to cover the above purpose, PYTHON software was implemented that allowed texts to be analysed and visualized in algorithmic and lexical-vocabulary ways. In addition, it was determined that by integrating the PYTHON tool, it became possible to use language transformation markers that formed linguistic patterns in the analysed text. The list of parameters for diagnosing manipulative texts is non-exhaustive, which emphasizes the possibility of machine measurement of the manipulative component of mass media discourse.","PeriodicalId":45315,"journal":{"name":"Digital Scholarship in the Humanities","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140925420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Literary Digital Stylistics in Translation Studies. Anna Maria Cipriani 翻译研究中的文学数字文体学。安娜-玛丽亚-西普里亚尼

IF 0.8 3区文学

Digital Scholarship in the Humanities Pub Date : 2024-05-07 DOI: 10.1093/llc/fqae025

Yuan Ping

引用次数: 0