Relevant bibliographies by topics / Online discussion network

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Online discussion network'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Online discussion network"

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Gonzalez-Bailon, Sandra, Andreas Kaltenbrunner, and Rafael E. Banchs. "The Structure of Political Discussion Networks: A Model for the Analysis of Online Deliberation." Journal of Information Technology 25, no. 2 (June 2010): 230–43. http://dx.doi.org/10.1057/jit.2010.2.

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This paper shows that online political discussion networks are, on average, wider and deeper than the networks generated by other types of discussions: they engage a larger number of participants and cascade through more levels of nested comments. Using data collected from the Slashdot forum, this paper reconstructs the discussion threads as hierarchical networks and proposes a model for their comparison and classification. In addition to the substantive topic of discussion, which corresponds to the different sections of the forum (such as Developers, Games, or Politics), we classify the threads according to structural features like the maximum number of comments at any level of the network (i.e. the width) and the number of nested layers in the network (i.e. the depth). We find that political discussion networks display a tendency to cluster around the area that corresponds to wider and deeper structures, showing a significant departure from the structure exhibited by other types of discussions. We propose using this model to create a framework that allows the analysis and comparison of different internet technologies for the promotion of political deliberation.
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Yang, Yang, Qiang Chen, and Wenjie Liu. "The structural evolution of an online discussion network." Physica A: Statistical Mechanics and its Applications 389, no. 24 (December 2010): 5871–77. http://dx.doi.org/10.1016/j.physa.2010.08.041.

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Vainikka, Eliisa. "The anti-social network: Precarious life in online conversations of the socially withdrawn." European Journal of Cultural Studies 23, no. 4 (November 30, 2018): 596–610. http://dx.doi.org/10.1177/1367549418810075.

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This article presents an analysis of life-political themes in online discussions about the hikikomori phenomenon, acute social withdrawal. In a Finnish online image-board, socially withdrawn individuals anonymously take part in conversations concerning, for example, welfare and the difficulties of working life. The aim of this study is to bring new perspectives to the discussion about anonymous online communication, and especially its relationship with social exclusion and anti-social behaviour. In the article, I examine how ‘the anti-social’ is produced and understood in this anonymously used forum. Through a thematically constructed textual analysis of online discussions, the following questions are answered: What kinds of life-political themes are found in the discussion concerning social withdrawal? How is the feeling of being an outsider in one’s own society voiced in this online community? What kind of space for public discussion does this specific forum provide? In the online space, an intimate public is formed around shared narratives and the conversations seem to offer at least a space of expressive politics and social criticism for the participants in a situation that is labelled by precariousness.
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Adalat, Mohsin, Muaz A. Niazi, and Athanasios V. Vasilakos. "Variations in power of opinion leaders in online communication networks." Royal Society Open Science 5, no. 10 (October 2018): 180642. http://dx.doi.org/10.1098/rsos.180642.

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Online social media has completely transformed how we communicate with each other. While online discussion platforms are available in the form of applications and websites, an emergent outcome of this transformation is the phenomenon of ‘opinion leaders’. A number of previous studies have been presented to identify opinion leaders in online discussion networks. In particular, Feng (2016 Comput. Hum. Behav. 54 , 43–53. ( doi:10.1016/j.chb.2015.07.052 )) has identified five different types of central users besides outlining their communication patterns in an online communication network. However, the presented work focuses on a limited time span. The question remains as to whether similar communication patterns exist that will stand the test of time over longer periods. Here, we present a critical analysis of the Feng framework both for short-term as well as for longer periods. Additionally, for validation, we take another case study presented by Udanor et al. (2016 Program 50 , 481–507. ( doi:10.1108/PROG-02-2016-0011 )) to further understand these dynamics. Results indicate that not all Feng-based central users may be identifiable in the longer term. Conversation starter and influencers were noted as opinion leaders in the network. These users play an important role as information sources in long-term discussions. Whereas network builder and active engager help in connecting otherwise sparse communities. Furthermore, we discuss the changing positions of opinion leaders and their power to keep isolates interested in an online discussion network.
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Strauß, Nadine, Laura Alonso-Muñoz, and Homero Gil de Zúñiga. "Bursting the filter bubble: the mediating effect of discussion frequency on network heterogeneity." Online Information Review 44, no. 6 (July 11, 2020): 1161–81. http://dx.doi.org/10.1108/oir-11-2019-0345.

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PurposeThe purpose of this study is to identify the structural processes that lead citizens to escape their common social circles when talking about politics and public affairs (e.g. “filter bubbles”). To do so, this study tests to what extent political attitudes, political behavior, news media consumption and discussion frequency affect discussion network heterogeneity among US citizens.Design/methodology/approachSupported by the polling group Nielsen, this study uses a two-wave panel online survey to study the antecedents and mechanisms of discussion network heterogeneity among US citizens. To test the hypotheses and answer the research questions, ordinary least squares (OLS) regressions (cross-sectional, lagged and autoregressive) and mediation analyses were conducted.FindingsThe findings imply that political discussion frequency functions as the key element in explaining the mechanism that leads politically interested and participatory citizens (online) as well as news consumers of traditional and online media to seek a more heterogeneous discussion network, disrupting the so-called “filter bubbles.” However, mediation analyses also showed that discussion frequency can lead to more homogenous discussion networks if people score high on political knowledge, possibly reflecting the formation of a close network of political-savvy individuals.Originality/valueThe survey data give important insights into the 2016 pre-election situation, trying to explain why US citizens were more likely to remain in homogenous discussion networks when talking about politics and public affairs. By using two-wave panel data, the analyses allow to draw tentative conclusions about the influential and inhibiting factors and mechanisms that lead individuals to seek/avoid a more heterogeneous discussion network.
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Yu, Li Xia, Xiao Mei Shang, Su Fen Zhang, and Yi Yang. "The Discussion about Network Application in College Students’ Employment." Applied Mechanics and Materials 473 (December 2013): 215–18. http://dx.doi.org/10.4028/www.scientific.net/amm.473.215.

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As the internet penetrates into all spheres of society gradually, network information technology is affecting all areas of society in a unique way. College students are an important group of Network User. In the network environment, the individual qualities, career pathways, career scope, business conditions about students have undergone great changes. Networks are becoming an important carrier for students to broaden employment channels, change the passive situation in the job market. This paper discusses the science construction of students’ employment network system in an angle of the characteristics and advantages of college students online employment, aiming at taking full advantage of Networks to promote the graduate employment, elevating employment information network to a new height, thereby increasing the employment rate of university students
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Nguyen, Nhut-Lam, Ming-Hung Wang, Yu-Chen Dai, and Chyi-Ren Dow. "Understanding Malicious Accounts in Online Political Discussions: A Multilayer Network Approach." Sensors 21, no. 6 (March 20, 2021): 2183. http://dx.doi.org/10.3390/s21062183.

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Online social media platforms play an important role in political communication where users can freely express and exchange their political opinion. Political entities have leveraged social media platforms as essential channels to disseminate information, interact with voters, and even influence public opinion. For this purpose, some organizations may create one or more accounts to join online political discussions. Using these accounts, they could promote candidates and attack competitors. To avoid such misleading speeches and improve the transparency of the online society, spotting such malicious accounts and understanding their behaviors are crucial issues. In this paper, we aim to use network-based analysis to sense influential human-operated malicious accounts who attempt to manipulate public opinion on political discussion forums. To this end, we collected the election-related articles and malicious accounts from the prominent Taiwan discussion forum spanning from 25 May 2018 to 11 January 2020 (the election day). We modeled the discussion network as a multilayer network and used various centrality measures to sense influential malicious accounts not only in a single-layer but also across different layers of the network. Moreover, community analysis was performed to discover prominent communities and their characteristics for each layer of the network. The results demonstrate that our proposed method can successfully identify several influential malicious accounts and prominent communities with apparent behavior differences from others.
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Moreira, Albert, Raul Alonso-Calvo, Alberto Muñoz, and José Crespo. "Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases." International Journal of Environmental Research and Public Health 15, no. 12 (December 9, 2018): 2787. http://dx.doi.org/10.3390/ijerph15122787.

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The Internet and social media is an enormous source of information. Health social networks and online collaborative environments enable users to create shared content that afterwards can be discussed. The aim of this paper is to present a novel methodology designed for quantifying relevant information provided by different participants in clinical online discussions. The main goal of the methodology is to facilitate the comparison of participant interactions in clinical conversations. A set of key indicators for different aspects of clinical conversations and specific clinical contributions within a discussion have been defined. Particularly, three new indicators have been proposed to make use of biomedical knowledge extraction based on standard terminologies and ontologies. These indicators allow measuring the relevance of information of each participant of the clinical conversation. Proposed indicators have been applied to one discussion extracted from PatientsLikeMe, as well as to two real clinical cases from the Sanar collaborative discussion system. Results obtained from indicators in the tested cases have been compared with clinical expert opinions to check indicators validity. The methodology has been successfully used for describing participant interactions in real clinical cases belonging to a collaborative clinical case discussion tool and from a conversation from a health social network. This work can be applied to assess collaborative diagnoses, discussions among patients, and the participation of students in clinical case discussions. It permits moderators and educators to obtain a quantitatively measure of the contribution of each participant.
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Suh, Wonseok, and Won sug Shin. ""An analysis of discussion environment and group size in online discussion activities using Social Networking Analysis"." Journal of Educational Technology 28, no. 4 (December 30, 2012): 757–79. http://dx.doi.org/10.17232/kset.28.4.757.

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Choi, Sujin, Joshua SungWoo Yang, and Wenhong Chen. "Longitudinal Change of an Online Political Discussion Forum: Antecedents of Discussion Network Size and Evolution." Journal of Computer-Mediated Communication 23, no. 5 (July 31, 2018): 260–77. http://dx.doi.org/10.1093/jcmc/zmy013.

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Dissertations / Theses on the topic "Online discussion network"

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Dillon, Kenneth Walter. "A study of the role of an online community in the community in the professional learning of teacher librarians." University of Southern Queensland, Faculty of Education, 2005. http://eprints.usq.edu.au/archive/00001422/.

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The thesis has its origins in a concern that teacher librarians in schools throughout Australia were disadvantaged in the development of their professional learning due to their professional and often geographical isolation in schools. A listserv (online discussion network) called OZTL_NET was developed to facilitate the enhancement of teacher professional learning for this group of teachers. OZTL_NET has been available to teacher librarians and others interested in teacher librarianship for over nine years. The study sought to determine whether usage of OZTL_NET was associated with the enhancement of teacher librarians’ professional learning. The study also explored the characteristics of teacher professional learning from the literature and sought to determine which characteristics of online communities may contribute to teacher professional learning. A case study design for the research was adopted using a mixed methods approach. The methods of data collection were a web survey and semi-structured interviews. Quantitative and qualitative data were collected and analysed and a detailed description of the object of study, OZTL_NET, was provided. A major finding of this study was that usage of OZTL_NET was significantly related to the enhancement of teacher professional learning. It was concluded that online learning communities may provide appropriate contexts for teacher professional learning and that, in relation to the case of OZTL_NET, various aspects of the concept of online learning communities and, to a lesser extent, communities of practice, are portrayed in the listserv. The findings supported the assertion that online learning communities have the potential to enhance the professional learning of teachers and provide opportunities for teachers to learn online. The study also revealed that community building online is a complex and demanding activity. Usability and sociability factors must be carefully considered and developed over the lifetime of the community. This process should include input from the community, the leadership of which should be broad-based and inclusive. Two broad principles emerged from the research that provide guidance for the management of listservs for teacher professional learning online. First, the study revealed that involvement and collaboration were critical ingredients in teacher professional learning online. Involvement was portrayed not only in the learning that ensued from the interactivity that necessarily underpins the sharing of tacit knowledge through information exchange and professional discussion between and among subscribers online but also by individuals through less obvious means such as lurking, archive searches and off-list communications. In terms of collaboration, this study found that in addition to high levels of trust, subscribers experienced a strong sense of collegiality and support as members of OZTL_NET. Second, the major finding above confirms that involvement and collaboration are strongly related to individual and collective orientations of teacher professional learning. The broad concept of individual or collective orientation recognises that teacher professional learning occurs in both orientations online as it does offline. Teachers have long recognised their colleagues as their major source of professional information. The difficulty in the past has been in the identification of a means by which teachers can readily access a wider pool of colleagues with whom they can discuss important issues, seek advice and so on. This is particularly important for teachers who are professionally isolated as a consequence of their teaching speciality (such as teacher librarians) and those who are geographically isolated making real time meetings with colleagues expensive and/or impracticable. In this context listservs such as OZTL_NET can play a critical role in providing the infrastructure to support distributed models of teacher professional learning online.
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Gómez, Cerdà Vicenç. "Algorithms and complex phenomena in networks: Neural ensembles, statistical, interference and online communities." Doctoral thesis, Universitat Pompeu Fabra, 2008. http://hdl.handle.net/10803/7548.

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Aquesta tesi tracta d'algoritmes i fenòmens complexos en xarxes.

En la primera part s'estudia un model de neurones estocàstiques inter-comunicades mitjançant potencials d'acció. Proposem una tècnica de modelització a escala mesoscòpica i estudiem una transició de fase en un acoblament crític entre les neurones. Derivem una regla de plasticitat sinàptica local que fa que la xarxa s'auto-organitzi en el punt crític.

Seguidament tractem el problema d'inferència aproximada en xarxes probabilístiques mitjançant un algorisme que corregeix la solució obtinguda via belief propagation en grafs cíclics basada en una expansió en sèries. Afegint termes de correcció que corresponen a cicles generals en la xarxa, s'obté el resultat exacte. Introduïm i analitzem numèricament una manera de truncar aquesta sèrie.

Finalment analizem la interacció social en una comunitat d'Internet caracteritzant l'estructura de la xarxa d'usuaris, els fluxes de discussió en forma de comentaris i els patrons de temps de reacció davant una nova notícia.
This thesis is about algorithms and complex phenomena in networks.

In the first part we study a network model of stochastic spiking neurons. We propose a modelling technique based on a mesoscopic description level and show the presence of a phase transition around a critical coupling strength. We derive a local plasticity which drives the network towards the critical point.

We then deal with approximate inference in probabilistic networks. We develop an algorithm which corrects the belief propagation solution for loopy graphs based on a loop series expansion. By adding correction terms, one for each "generalized loop" in the network, the exact result is recovered. We introduce and analyze numerically a particular way of truncating the series.

Finally, we analyze the social interaction of an Internet community by characterizing the structure of the network of users, their discussion threads and the temporal patterns of reaction times to a new post.
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Allan, Mary Katherine. "Conceptualising Social Space in Cyberspace: A Study of the Interactions in Online Discussion forums." Thesis, University of Canterbury. Education, 2005. http://hdl.handle.net/10092/1051.

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The study introduces an alternative analytic framework for the investigation of online discussion forums. It focuses on the social dynamics occurring in online discussion threads situated within a tertiary e-learning context, and advocated by social learning theories. Online discussion forums are perceived as conducive environments for the evolvement and support of collaborative and socio- constructivist learning. However, the literature reviewed, revealed a growing need for finding empiric frameworks for ascertaining the materialisation of these perceptions. Attempting to address the identified need, the study adopts ethnomethodological notions, complemented by Structural Analysis approach, to produce an alternative analytic frame called the Event Centre (EC) approach for the study of online discussion forums. The theoretical framework chosen in this study enables the investigation of online discussion forums as systems of relations rather than aggregations of individuals. The EC approach enables the visual representation of networks of people interacting with each other and at the same time presenting the content discussed in each interaction. Applying the EC approach to a set of 131online discussion threads, enabled the discovery of social dynamics occurring within the discussion threads. Preliminary investigations of these visually represented dynamics revealed two overarching patterns. One depicting uni directional interactions in which all participants referred to a single message and a second one depicting sequences of interactions organised in chain like patterns. The study suggests that these overarching patterns may imply different perceptions of knowledge as enacted by the participants, and hence possibly reveal different perceptions of teaching and learning through which it may be possible to detect collaborative and social constructivist processes. The study suggests that the visual patterns introduced should be perceived as abstractions of particular events, implying their generalisability and hence possible application to different data sets.
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McKlin, Thomas Edward. "Analyzing Cognitive Presence in Online Courses Using an Artificial Neural Network." Digital Archive @ GSU, 2004. http://digitalarchive.gsu.edu/msit_diss/1.

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This work outlines the theoretical underpinnings, method, results, and implications for constructing a discussion list analysis tool that categorizes online, educational discussion list messages into levels of cognitive effort. Purpose The purpose of such a tool is to provide evaluative feedback to instructors who facilitate online learning, to researchers studying computer-supported collaborative learning, and to administrators interested in correlating objective measures of students’ cognitive effort with other measures of student success. This work connects computer–supported collaborative learning, content analysis, and artificial intelligence. Method Broadly, the method employed is a content analysis in which the data from the analysis is modeled using artificial neural network (ANN) software. A group of human coders categorized online discussion list messages, and inter-rater reliability was calculated among them. That reliability figure serves as a measuring stick for determining how well the ANN categorizes the same messages that the group of human coders categorized. Reliability between the ANN model and the group of human coders is compared to the reliability among the group of human coders to determine how well the ANN performs compared to humans. Findings Two experiments were conducted in which artificial neural network (ANN) models were constructed to model the decisions of human coders, and the experiments revealed that the ANN, under noisy, real-life circumstances codes messages with near-human accuracy. From experiment one, the reliability between the ANN model and the group of human coders, using Cohen’s kappa, is 0.519 while the human reliability values range from 0.494 to 0.742 (M=0.6). Improvements were made to the human content analysis with the goal of improving the reliability among coders. After these improvements were made, the humans coded messages with a kappa agreement ranging from 0.816 to 0.879 (M=0.848), and the kappa agreement between the ANN model and the group of human coders is 0.70.
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Pyun, Ooyoung Che. "Effects of Networked Language Learning: A Comparison Between Synchronous Online Discussions and Face-To-Face Discussions." Columbus, OH : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1047498590.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xiv, 151 p.: ill. Includes abstract and vita. Advisor: Charles R. Hancock, College of Education. Includes bibliographical references (p. 123-129).
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Visagie, Sonja. "Using a social network environment for information systems group work." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/24597.

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Group work and online discussions are not new terms in education and are important activities for Information Systems students. It has become important because it encourages creative thinking and provides more efficient problem-solving approaches. Online social networking sites, like Facebook, have pedagogical potential and the consideration of its academic application should not be ignored by lecturers or students. The main problem identified in this thesis is that the awareness and application of the emerging pedagogical potential of online social networking sites, like Facebook, especially for the purpose of group work and online discussions, is limited among Information Systems lecturers and students. The purpose of this study is to determine the level of awareness and application of Facebook as an academic tool by Information Systems lecturers and students, and whether it can enhance the learning experience of students, related to the effectiveness of group work and online discussions. The perceptions of both Information Systems lecturers and students were recorded by means of questionnaires and interviews. It was found that most lecturers and students were aware of Facebook’s pedagogical potential. However, the consideration and application of Facebook as an academic tool, by lecturers and students, are limited. From a cultural perspective, it was found that students from a private institution, where no Learning Management System was implemented, as well as black students, showed increased levels of utilisation and performance, in terms of enhanced learning experienced, on the academic groups on Facebook. The researcher developed a model for the academic application of Facebook for Information Systems students, based on the Task-Technology Fit and the Social Software Performance Model theories. This study concludes with the recommendation that Information Systems lecturers and students should become increasingly aware of and consider the pedagogical potential of Facebook as a supplementary tool and with suggestions for future research.
Dissertation (MCom)--University of Pretoria, 2010.
Informatics
unrestricted
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Yang, Dai Fei. "Improving Networked Learning in Higher Education: Language Functions and Design Patterns." University of Sydney, 2007. http://hdl.handle.net/2123/2465.

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Doctor of Philosophy
The thesis of this study is that two seemingly disparate research disciplines can be coalesced to develop an effective pedagogical framework for educational design in the context of networked learning. That contention is grounded in, and inspired by, the rapid developments in educational technologies which have greatly changed the landscape in teaching and learning in higher education over the last decade. The study attempts to add to the corpus of contemporary learning theory which sees students not merely as passive recipients of knowledge, but as active participants in the learning process, having much greater control over their selection of technological learning tools, learning resources and learning methodologies. This is very much in line with the shift from the traditional focus on content design and knowledge transmission towards a more student-centred design for knowledge co-construction, a development which demands the type of new thinking about the design of learning tasks and learning resources contained in this study. Also set out are new lines of action for the fashioning of a collaborative learning environment, for community interaction and the sharing of knowledge, and for promoting good teaching and learning practice. The central argument of the study is that such pedagogical goals may be attained by juxtaposing the theories of Systemic Functional Linguistics (hereafter SFL) and pattern languages. These have not, thus far, been used in combination. SFL is a well established theory in the study of language, and is used in this thesis to help analyse and classify discourses produced and shared by teachers and students in networked learning. Pattern languages have their origin in architecture. Design patterns can be used as a means of representing and sharing important and specific empirical research results and design experiences. This new knowledge can be used to support and improve the quality of educational design. The study has two central components. The first uses the SFL theoretical framework to demonstrate how text is used as a key medium in networked learning. In other words, it is argued in this section that the quality of texts has a direct impact on the quality of learning and learning outcomes. The quality of text is assessed by means of a detailed discourse analysis of selected texts. This process involves deconstructing, identifying and capturing the linguistic resources and language strategies used in the texts. The detailed discourse analysis also illustrates and reveals how language is used in the construction of knowledge and the promotion of collaboration in teaching and learning. The second component centres on the argument that SFL provides valuable language knowledge which can be represented by using Alexander’s design patterns. New knowledge encoded in these design patterns can be used by teachers and designers as reusable and shared resources to help them improve their design work. The empirical research was carried out in three phases. The first involved a) the identification of text patterns of discourses used in networked learning based on detailed discourse analysis; b) Interviewing experienced academic staff to identify their perspectives on good online teaching practices and success factors. The second phase involved using the data which emerged from these interviews and discourse analysis to model illustrative patterns. (Here, illustrative means that due to the scope of the study, it is only possible to develop a limited number of patterns to illustrate the methods used for pattern development. It is not the intention to develop a full repository of design patterns in this study). In the third (validation) phase the patterns were reviewed by two groups of academic staff, with the aim of improving these patterns. Improved patterns were then tested on a group of educational design students for their usefulness and application. It is concluded from this research that it is possible to develop design patterns which ensure the best use of linguistic resources in both the teaching and learning process. Finally, it is argued that the combination of SFL and pattern languages provides a promising theoretical framework for the complex and demanding task of educational design. Future research could make use of such a framework to explore a fuller application of the pattern- based approach for the representation of new knowledge for educational design. Suggested additional research directions include finding new ways of capturing a new pedagogical approach to mobile learning and blended learning. Also, a promising direction could be the use of SFL Appraisal theory (Martin, 2000) for the investigation on how students construct interpersonal relationships (appraise peer work) in online joint projects. In the conclusion, it is contended that through its exploration of new ground in the use of SFL and pattern language theory in the construction of education design patterns, the study makes a significant contribution to knowledge in the field of networked learning.
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ae, hlim@pi ac, and Hwee Ling Lim. "Constructing Learning Conversations: A Study of the Discourse and Learner Experiences of Online Synchronous Discussions." Murdoch University, 2006. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070422.203120.

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The aim of this qualitative case study is to gain greater insight into the impact of online synchronous (chat) interaction on the learning process from a sociocultural constructivist perspective in the context of an online undergraduate unit. Given the sparse research on the effectiveness of chat interaction in supporting knowledge construction processes, few appropriate analytical methods available for examining educational chat discourse, together with the pedagogical imperative to determine the extent to which the real-time computer-mediated communication (CMC) mode satisfies student learning needs, this study fills the gaps in current research by examining the impact of chat interaction in facilitating participation, knowledge construction, and quality of online learning experience of two different online tutorial groups. Although the literature largely regards chat interaction as fragmented and characterized by interactional incoherence that disrupts the dialogic knowledge construction process, findings from this single-embedded case study of tutorial groups 1 and 4 (G1 and G4), involved in weekly critical discussions on set-readings over 11 weeks (one semester), show that chat interaction is more structured and complex than the literature suggests. This study utilizes a new methodological design that integrates discourse and social network analytical methods which are triangulated with self-reports of learning experiences from an online survey instrument. The application of a refined Exchange Structure Analysis coding instrument (Kneser, Pilkington, & Treasure-Jones, 2001) with social network analysis (Wasserman & Faust, 1994; Scott, 2000) to transcripts of chat interaction shows educational chat discourse to be coherent; reflecting the typical structure of pedagogical classroom exchanges. Findings from this study further establish that chat interaction enables participation opportunities in tutorial discussions which are valued as important, with variations in levels of participation within and between groups suggesting a pattern of active and peripheral participation which is not necessarily detrimental to learning. Chat interaction is also found to facilitate collaborative sharing of individual understandings and critical negotiation of meaning which are characteristic of the knowledge construction process, in the form of information-sharing and topic development phases in the exchanges of both groups. Although it is beyond the scope of this study to determine the exact form of knowledge constructed, individual and mutual appropriations of shared knowledge through chat interaction are reported by both groups. A between group comparison of available tutor scaffolding reveals consistently weak G1 tutor presence compared to strong G4 tutor support at the initial learning stages with gradual withdrawal of scaffolding over time. These results suggest differences in quality of online educational experiences which are confirmed by findings that compared to G1, G4 reported greater satisfaction with more chat tutorial factors; indicating an overall more positive, higher quality of experience with collaborative learning and group work processes afforded by the chat interaction. With its methodological design, instruments, and findings, this study contributes to existing knowledge on online interaction, advances on previous studies regarding impact of chat interaction on learning, and offers directions for future work in the fields of educational technology, linguistics, and group dynamics in educational social networks. When extrapolated to comparable cases, findings from this study could guide the pedagogical design of collaborative-constructivist learning activities that takes into account the role of chat interaction in the construction of learning conversations.
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Sun, Yingcheng. "Topic Modeling and Spam Detection for Short Text Segments in Web Forums." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1575281495398615.

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Birbilaitė, Inesa. "Manifestations of deliberative democracy online: measuring quality of global public discussions on climate change on Facebook." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20131009_100901-11555.

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The major purpose of this dissertation was to measure quality of preselected public discussions (in form of comments) generated on popular online social network Facebook. We used Discourse Quality Index as the main instrument to collect and analyze our empirical data. In particular, we measured how the quality of our discussions corresponded to the preconditions of Habermasian ideal discourse perception. In our analysis, we highlighted the role of Web 2.0 based online communications environments to support, promote or, possibly, neglect traditions and principles of deliberative democracy. Our results revealed that quality of the discussions we analyzed is not good enough; consequently, they cannot be considered by policymakers and have positive impact on decisions made. The main reasons of that are: a) audience polarization; b) dissensual political discourse; c) low participants’ scientific and political literacy; d) not serious or light role that participants undertake in the discourse.
Disertacija siekiama įvertinti pasirinkto socialinio tinklo viešojo diskurso potencialą demokratinių procesų palaikymui. Tirtos viešosios klimato kaitos diskusijos (komentarai) socialiniame tinkle Facebook. Empiriniams duomenims surinkti ir apdoroti naudojamas Diskurso kokybės indeksas: įvertinta, kaip analizuojamų komentarų kokybė atitinka idealųjį habermasiškąjį diskurso kokybės supratimą. Analizuojant ir interpretuojant surinktus duomenis, įvertintos Web 2.0 komunikacijos charakteristikos (kaip galimybės ir kliūtys svarstomosios demokratijos procesams palaikyti); taip pat aptarti klimato kaitos moksliniai ir politiniai aspektai (aktualizuojant rizikos komunikacijos ir deliberatyviosios demokratijos teorines prieigas). Tyrimo rezultatai atskleidė, jog analizuotų viešų komentarų kokybė yra nepakankama, kad galėtų daryti konkrečią įtaką politinių sprendimų priėmimo procesuose. Pagrindinės to priežastys: a) auditorijų poliarizacija; b) nesutarimais grįsta politinė diskusija; c) nepakankamas dalyvių mokslinis ir politinis išprusimas; d) nerimtas dalyvių nusiteikimas.
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Books on the topic "Online discussion network"

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Build your online community: Blogging, message boards, newsgroups, and more. Berkeley Heights, NJ: Enslow Publishers, 2011.

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Hafner, Katie. The Well: A story of love, death, and real life in the seminal online community. New York: Carroll & Graf, 2001.

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1975-, Salaita Steven, ed. The internet discourse of Arab-American groups: A study in web linguistics. Lewiston, N.Y: Edwin Mellen Press, 2009.

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Online Alevi topluluklar: Ritüel desenli bir gruptan mit desenli bir inanç topluluğuna. Konya: Çizgi Kitabevi, 2013.

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Emery, Vince. Free business stuff from the internet. Scottsdale, AZ: Coriolis Group, 1996.

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Hālah, Zaghandī, and Ahmad Sultan, eds. Ajindat al-thawrah. al-Qāhirah: Dār Uktub lil-Nashr wa-al-Tawzīʻ, 2011.

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Dawlatī ʻalá al-fīsbūk. [al-Qāhirah]: al-Hayʼah al-Miṣrīyah al-ʻĀmmah lil-Kitāb, 2012.

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O'Keefe, Patrick. Managing online forums: Everything you need to know to create and run successful community discussion boards. New York: AMACOM, 2008.

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(In) Appropriate online behavior: A pragmatic analysis of message board relations. Amsterdam: John Benjamins Publishing Company, 2013.

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Dawlat al-Facebook. Madīnat Naṣr, al-Qāhirah: Dār al-Shurūq, 2009.

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Book chapters on the topic "Online discussion network"

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De Liddo, Anna, and Simon Buckingham Shum. "New Ways of Deliberating Online: An Empirical Comparison of Network and Threaded Interfaces for Online Discussion." In Advanced Information Systems Engineering, 90–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44914-1_8.

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Park, Hana, Hee Joon Kim, Hyo Sun Park, and Kyu Yon Lim. "Effects of Social Network-Based Visual Feedback on Interaction in Online Discussion." In Emerging Issues in Smart Learning, 157–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44188-6_22.

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Khan, Arnob Islam, Vasilii Kaliteevskii, Iuliia Shnai, and Leonid Chechurin. "Analysis of Students’ Performance in an Online Discussion Forum: A Social Network Approach." In Cyber-Physical Systems and Control, 670–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34983-7_66.

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Lee, Eunbae, and Mete Akcaoglu. "Sociability of Online Learning Environments: Examining Discussion Group Sizes and Social Network Sites." In Learning, Design, and Technology, 1–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17727-4_39-1.

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Lee, Eunbae, and Mete Akcaoglu. "Sociability of Online Learning Environments: Examining Discussion Group Sizes and Social Network Sites." In Learning, Design, and Technology, 1–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17727-4_39-2.

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Rabbany, Reihaneh, Samira Elatia, Mansoureh Takaffoli, and Osmar R. Zaïane. "Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective." In Educational Data Mining, 441–66. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_16.

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Tampe, Ignacio, Marcelo Mendoza, and Evangelos Milios. "Neural Abstractive Unsupervised Summarization of Online News Discussions." In Lecture Notes in Networks and Systems, 822–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82196-8_60.

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Pace, Gordon J., Raúl Pardo, and Gerardo Schneider. "On the Runtime Enforcement of Evolving Privacy Policies in Online Social Networks." In Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications, 407–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47169-3_33.

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Vergeer, Maurice. "Political Candidates’ Discussions on Twitter During Election Season: A Network Approach." In Twitter, the Public Sphere, and the Chaos of Online Deliberation, 53–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41421-4_3.

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Röchert, Daniel, German Neubaum, and Stefan Stieglitz. "Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models." In Disinformation in Open Online Media, 107–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61841-4_8.

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Abstract Since social media have increasingly become forums to exchange personal opinions, more and more approaches have been suggested to analyze those sentiments automatically. Neural networks and traditional machine learning methods allow individual adaption by training the data, tailoring the algorithm to the particular topic that is discussed. Still, a great number of methodological combinations involving algorithms (e.g., recurrent neural networks (RNN)), techniques (e.g., word2vec), and methods (e.g., Skip-Gram) are possible. This work offers a systematic comparison of sentiment analytical approaches using different word embeddings with RNN architectures and traditional machine learning techniques. Using German comments of controversial political discussions on YouTube, this study uses metrics such as F1-score, precision and recall to compare the quality of performance of different approaches. First results show that deep neural networks outperform multiclass prediction with small datasets in contrast to traditional machine learning models with word embeddings.
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Conference papers on the topic "Online discussion network"

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Erlin, Susandri, and Helda Yenni. "Social Network Analysis for Online Discussion." In the 2016 International Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/3023924.3023952.

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Suraj, P., and V. S. Kumari Roshni. "Social network analysis in student online discussion forums." In 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2015. http://dx.doi.org/10.1109/raics.2015.7488402.

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Krishnan, Soundarya, Rishab Khincha, and Neena Goveas. "Network Community Analysis Based Enhancement of Online Discussion Forums." In CODS COMAD 2021: 8th ACM IKDD CODS and 26th COMAD. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3430984.3431066.

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He, Peng. "Evaluating Students Online Discussion Performance by Using Social Network Analysis." In 2012 Ninth International Conference on Information Technology: New Generations (ITNG). IEEE, 2012. http://dx.doi.org/10.1109/itng.2012.72.

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Erlin, B., Norazah Yusof, and Azizah Abdul Rahman. "Analyzing Online Asynchronous Discussion Using Content and Social Network Analysis." In 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE, 2009. http://dx.doi.org/10.1109/isda.2009.40.

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Erlin, Norazah Yusof, and Azizah Abdul Rahman. "Students' Interactions in Online Asynchronous Discussion Forum: A Social Network Analysis." In 2009 International Conference on Education Technology and Computer. IEEE, 2009. http://dx.doi.org/10.1109/icetc.2009.48.

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Zhao, Chengling, Yunzhen Liang, Xiaoyuan Zhao, and Qingtang Liu. "Analysis of Social Network and Knowledge Construction Levels in Online Discussion." In 2016 International Conference on Educational Innovation through Technology (EITT). IEEE, 2016. http://dx.doi.org/10.1109/eitt.2016.39.

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Lai-wah, Rebecca Tam. "Investigating collaborative learning via asynchronous learning network: An online discussion forum." In Annual International Conference on Education & e-Learning (EeL 2016). Global Science & Technology Forum (GSTF), 2016. http://dx.doi.org/10.5176/2251-1814_eel16.8.

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Chen, Pei-Chun, Ming-Chaun Li, Chih-Ming Chen, and Ya-Ling Huang. "A Semantic Network Instant Feedback System to Improve Online Discussion Performance." In 2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2020. http://dx.doi.org/10.1109/iiai-aai50415.2020.00051.

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Adraoui, Meriem, Asmaa Retbi, Mohammed Khalidi Idrissi, and Samir Bennani. "Network visualization algorithms to evaluate students in online discussion forums: A simulation study." In 2018 International Conference on Intelligent Systems and Computer Vision (ISCV). IEEE, 2018. http://dx.doi.org/10.1109/isacv.2018.8354020.

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Reports on the topic "Online discussion network"

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Yatsymirska, Mariya. KEY IMPRESSIONS OF 2020 IN JOURNALISTIC TEXTS. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11107.

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The article explores the key vocabulary of 2020 in the network space of Ukraine. Texts of journalistic, official-business style, analytical publications of well-known journalists on current topics are analyzed. Extralinguistic factors of new word formation, their adaptation to the sphere of special and socio-political vocabulary of the Ukrainian language are determined. Examples show modern impressions in the media, their stylistic use and impact on public opinion in a pandemic. New meanings of foreign expressions, media terminology, peculiarities of translation of neologisms from English into Ukrainian have been clarified. According to the materials of the online media, a «dictionary of the coronavirus era» is provided. The journalistic text functions in the media on the basis of logical judgments, credible arguments, impressive language. Its purpose is to show the socio-political problem, to sharpen its significance for society and to propose solutions through convincing considerations. Most researchers emphasize the influential role of journalistic style, which through the media shapes public opinion on issues of politics, economics, education, health care, war, the future of the country. To cover such a wide range of topics, socio-political vocabulary is used first of all – neutral and emotionally-evaluative, rhetorical questions and imperatives, special terminology, foreign words. There is an ongoing discussion in online publications about the use of the new foreign token «lockdown» instead of the word «quarantine», which has long been learned in the Ukrainian language. Research on this topic has shown that at the initial stage of the pandemic, the word «lockdown» prevailed in the colloquial language of politicians, media personalities and part of society did not quite understand its meaning. Lockdown, in its current interpretation, is a restrictive measure to protect people from a dangerous virus that has spread to many countries; isolation of the population («stay in place») in case of risk of spreading Covid-19. In English, US citizens are told what a lockdown is: «A lockdown is a restriction policy for people or communities to stay where they are, usually due to specific risks to themselves or to others if they can move and interact freely. The term «stay-at-home» or «shelter-in-place» is often used for lockdowns that affect an area, rather than specific locations». Content analysis of online texts leads to the conclusion that in 2020 a special vocabulary was actively functioning, with the appropriate definitions, which the media described as a «dictionary of coronavirus vocabulary». Media broadcasting is the deepest and pulsating source of creative texts with new meanings, phrases, expressiveness. The influential power of the word finds its unconditional embodiment in the media. Journalists, bloggers, experts, politicians, analyzing current events, produce concepts of a new reality. The world is changing and the language of the media is responding to these changes. It manifests itself most vividly and emotionally in the network sphere, in various genres and styles.
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