Communication Methods and Measures最新文献_第4页

The Implications of Communication Technologies for Supportive Conversations: A Dynamic Dyadic Systems Approach Examining Turn Transitions 通信技术对支持性会话的影响：一种检查转向转换的动态并进系统方法

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-04-28 DOI: 10.1080/19312458.2023.2207005

Stephen A. Rains, Corey A. Pavlich, Eric Tsetsi, Anjali Ashtaputre, Bethany R. Lutovsky, Chelsie Akers, Katerina Nemcova

{"title":"The Implications of Communication Technologies for Supportive Conversations: A Dynamic Dyadic Systems Approach Examining Turn Transitions","authors":"Stephen A. Rains, Corey A. Pavlich, Eric Tsetsi, Anjali Ashtaputre, Bethany R. Lutovsky, Chelsie Akers, Katerina Nemcova","doi":"10.1080/19312458.2023.2207005","DOIUrl":"https://doi.org/10.1080/19312458.2023.2207005","url":null,"abstract":"ABSTRACT Although turn-level dynamics involving the back-and-forth exchange of talk between support seekers and providers form the foundation for supportive conversations, they have largely been overlooked by researchers studying the implications of communication technologies for social support. To address this gap, we demonstrate the utility of examining turn transitions using configural frequency analysis to investigate patterns of talk that mark and distinguish supportive conversations conducted face-to-face and via instant messaging. Using secondary data from two experiments in which the medium for supportive conversations was manipulated among stranger dyads, we explore the nature and prevalence of seeker-to-provider and provider-to-seeker turn transitions. The results demonstrated interpersonal coordination in off-topic talk between seekers and providers that transcended the communication medium. Additionally, patterns were observed suggesting that high levels of provider person centeredness were more likely to be generated and influential in turn transitions appearing in instant messaging compared to face-to-face conversations.","PeriodicalId":47552,"journal":{"name":"Communication Methods and Measures","volume":" ","pages":""},"PeriodicalIF":11.4,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48499437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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: 1

Message Deletion on Telegram: Affected Data Types and Implications for Computational Analysis 电报上的信息删除:受影响的数据类型和对计算分析的影响

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-03-06 DOI: 10.1080/19312458.2023.2183188

Kilian Buehling

引用次数: 3

Leveraging Data Donations for Communication Research: Exploring Drivers Behind the Willingness to Donate 利用数据捐赠进行传播研究:探索捐赠意愿背后的驱动因素

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-03-01 DOI: 10.1080/19312458.2023.2176474

Nico Pfiffner, Thomas N. Friemel

{"title":"Leveraging Data Donations for Communication Research: Exploring Drivers Behind the Willingness to Donate","authors":"Nico Pfiffner, Thomas N. Friemel","doi":"10.1080/19312458.2023.2176474","DOIUrl":"https://doi.org/10.1080/19312458.2023.2176474","url":null,"abstract":"ABSTRACT Using data donations to collect digital trace data holds great potential for communication research, which has not yet been fully realized. Besides limited awareness and expertise among researchers, a central challenge is to motivate people to donate their personal data. Therefore, this article investigates which factors affect people’s willingness to donate across different platforms and data types. The study applies a multilevel approach that explains the reported willingness to donate different types of data (level 1) belonging to different platforms (level 2) from potential data donors with individual characteristics (level 3) to a hypothetical research project. The analysis is based on data collected through a national online survey (n = 833). We find higher willingness to donate YouTube data compared to Facebook, Instagram, or Google, as well as relevant influencing factors at all three levels. Greater willingness is found for lower perceived sensitivity and higher perceived relevance of the data (level of data type), greater perceived behavioral control to request and submit the data (platform level), more favorable attitudes toward data donation and the donation purpose, as well as lower contextual privacy concerns (individual level). Based on these findings, practical implications for future data donation studies are proposed.","PeriodicalId":47552,"journal":{"name":"Communication Methods and Measures","volume":"17 1","pages":"227 - 249"},"PeriodicalIF":11.4,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47124976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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: 1

Digital Trace Data Collection for Social Media Effects Research: APIs, Data Donation, and (Screen) Tracking 社交媒体效果研究的数字跟踪数据收集:api，数据捐赠和(屏幕)跟踪

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-02-27 DOI: 10.1080/19312458.2023.2181319

Jakob Ohme, Theo Araujo, L. Boeschoten, Deen Freelon, Nilam Ram, Byron B. Reeves, Thomas N. Robinson

引用次数: 11

A Systematic Literature Review of Latent Variable Mixture Modeling in Communication Scholarship 传播学术中潜在变量混合模型的系统文献综述

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-02-23 DOI: 10.1080/19312458.2023.2179612

Colton E. Krawietz, Rudy C. Pett

{"title":"A Systematic Literature Review of Latent Variable Mixture Modeling in Communication Scholarship","authors":"Colton E. Krawietz, Rudy C. Pett","doi":"10.1080/19312458.2023.2179612","DOIUrl":"https://doi.org/10.1080/19312458.2023.2179612","url":null,"abstract":"ABSTRACT Recently, latent variable mixture modeling has gained traction in many disciplines, given its unique ability to discover unknown groups within a broader population. Indeed, this method assumes that a finite number of mixtures (i.e. unknown groups) exist within the population and can be discovered by evaluating participants’ response patterns to a set of manifest indicators. Despite the intuitive approach, recommendations have been proposed to overcome some methodological concerns associated with latent variable mixture modeling. The primary purpose of this study was to understand the characteristics of latent variable mixture modeling in communication research and to evaluate the extent to which the existing research meets these recommendations. Ninety-five manuscripts published between 2010 and 2022 in 18 communication journals were identified and systematically analyzed. The review found that (1) the use of latent variable mixture modeling has increased; (2) latent class analysis and latent profile analysis are the most common models; and (3) most manuscripts did not meet the proscribed standards for random start values, auxiliary variable procedures, indicator requirements, and missing data procedures. These findings are discussed more in comparison with the proscribed standards. In addition, conceptual and applicable recommendations are provided to improve communication scholarship.","PeriodicalId":47552,"journal":{"name":"Communication Methods and Measures","volume":"17 1","pages":"83 - 110"},"PeriodicalIF":11.4,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42567266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Correction 修正

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-02-23 DOI: 10.1080/19312458.2023.2182983

引用次数: 0

Leveraging Researcher Domain Expertise to Annotate Concepts Within Imbalanced Data 利用研究人员领域专业知识注释不平衡数据中的概念

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-02-22 DOI: 10.1080/19312458.2023.2182278

Dror K. Markus, Guy Mor-Lan, Tamir Sheafer, Shaul R. Shenhav

{"title":"Leveraging Researcher Domain Expertise to Annotate Concepts Within Imbalanced Data","authors":"Dror K. Markus, Guy Mor-Lan, Tamir Sheafer, Shaul R. Shenhav","doi":"10.1080/19312458.2023.2182278","DOIUrl":"https://doi.org/10.1080/19312458.2023.2182278","url":null,"abstract":"ABSTRACT As more computational communication researchers turn to supervised machine learning methods for text classification, we note the challenge in implementing such techniques within an imbalanced dataset. Such issues are critical in our domain, where, in many cases, researchers attempt to identify and study theoretically interesting categories that can be rare in a target corpus. Specifically, imbalanced distributions, with a skewed distribution of texts among the categories, can lead to a lengthy and expensive annotation stage, forcing practitioners to sample and label large numbers of texts to train a classification model. In this paper, we provide an overview of the issue, and describe existing strategies for mitigating such challenges. Noting the pitfalls of previous solutions, we then provide a semi-supervised method – Expert Initiated Latent Space Sampling – that complements researcher domain expertise with a systematic, unsupervised exploration of the latent semantic space to overcome such limitations. Utilizing simulations to systematically evaluate our method and compare it to existing approaches, we show that our procedure offers significant advantages in terms of efficiency and accuracy in many classification tasks.","PeriodicalId":47552,"journal":{"name":"Communication Methods and Measures","volume":"17 1","pages":"250 - 271"},"PeriodicalIF":11.4,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44019352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Developing an Incivility Dictionary for German Online Discussions – a Semi-Automated Approach Combining Human and Artificial Knowledge 为德语在线讨论开发一个不文明词典——一种结合人类和人工知识的半自动方法

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-02-05 DOI: 10.1080/19312458.2023.2166028

Anke Stoll, L. Wilms, Marc Ziegele

{"title":"Developing an Incivility Dictionary for German Online Discussions – a Semi-Automated Approach Combining Human and Artificial Knowledge","authors":"Anke Stoll, L. Wilms, Marc Ziegele","doi":"10.1080/19312458.2023.2166028","DOIUrl":"https://doi.org/10.1080/19312458.2023.2166028","url":null,"abstract":"ABSTRACT Incivility in online discussions has become an important issue in political communication research. Instruments and tools for the automated analysis of uncivil content, however, are rare, especially for non-English user-generated text. In this study, we present a) an extensive dictionary (DIKI - Diktionär für Inzivilität, English: Dictionary for Incivility) to detect incivility in German-language online discussions, and b) a semi-automated two-step-approach that combines manual content analysis with automated keyword collection using a pre-trained word embedding model. We show that DIKI clearly outperforms comparable dictionaries that have been used as alternative instruments to measure incivility (e.g., the LIWC) as well as basic machine learning approaches to text classification. Further, we provide evidence that pre-trained word embeddings can fruitfully be employed in the explorative phase of creating dictionaries. Still, the manual evaluation of DIKI confirms that detecting complex and context-dependent forms of incivility remains challenging and constant update would be needed to maintain performance. Finally, the detailed documentation of the developing and evaluation process of DIKI may serve as a guideline for further research. We therefore provide DIKI as a freely available instrument that also will be applicable in a web interface for drag-and-drop data analysis (diki.limitedminds.org).","PeriodicalId":47552,"journal":{"name":"Communication Methods and Measures","volume":"17 1","pages":"131 - 149"},"PeriodicalIF":11.4,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43968197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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: 1

What We Can Do and Cannot Do with Topic Modeling: A Systematic Review 主题建模能做什么和不能做什么：系统综述

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-01-19 DOI: 10.1080/19312458.2023.2167965

Yingying Chen, Zhao Peng, Sei-Hill Kim, Chang Won Choi

引用次数: 9

Comparing Chatbots and Online Surveys for (Longitudinal) Data Collection: An Investigation of Response Characteristics, Data Quality, and User Evaluation 比较聊天机器人和在线调查的（纵向）数据收集：对响应特征、数据质量和用户评估的调查

IF 11.4 1区文学

Communication Methods and Measures Pub Date : 2023-01-12 DOI: 10.1080/19312458.2022.2156489

Brahim Zarouali, Theo Araujo, Jakob Ohme, Claes H. de Vreese

引用次数: 3