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The author examines interactions in a forum community. Her paper focuses primarily on the negotiation of status, which is measured for example by the length of membership and the activity of the users in the communities. Using the example of the community 'The Student Room', she shows that newcomers first have to earn the right to perform certain verbal actions.
On platforms such as Facebook and Twitter, on message boards, in blogs and commentaries, in short: in the Social Media, users interact as if they knew each other personally. Malicious verbal behaviour is found next to clapping and kissing emoticons, both indicative of users' relational work strategies. This book presents seventeen papers on face work in Social Media – theoretical reflections as well as corpus-based studies – thus opening the way to rethink linguistic pragmatics in computer-mediated communication.
Face Work and Social Media
(2014)
On platforms such as Facebook and Twtter, on message boards, in blogs and commentaries, in short: in the Social Media, users interact as if they knew each other personally. Malicious verbal behaviour is found next to clapping and kissing emoticons, both indicative of users' relational work strategies. This book presents seventeen papers on face work in Social Media - theoretical reflections as well as corpus-based studies - thus opening the way to rethink linguistic pragmatics in computer-mediated communication.
„On the internet, nobody knows you're a dog", heißt es in der berühmten Karikatur, die das Magazin New Yorker 1993 veröffentlichte. Die zahlreichen Kommuniktionsplattformen des Web 2.0 ermöglichen heutzutage jedem Internetnutzer, Online-Inhalte auf seine Weise zu konsumieren und selbst zu erstellen. Seither ist das World Wide Web nicht mehr so anonym, wie das Zitat vom unerkannten Hund glauben macht: Die Kommunikation der Nutzer über die Inhalte ist gerade in interpersoneller Hinsicht überaus differenziert. Identität, Selbstdarstellung, Fremdzuschreibungen und kommunikative Konventionen spielen eine große Rolle im virtuellen Netzwerk der Personen. Für die Linguistik stellt sich die Frage, welche Veränderungen im menschlichen Sprachverhalten zu beobachten sind. Das Zusammenspiel von Offline- und Online-Kommunikation lässt vermuten, dass Traditionen und Innovationen aus beiden Bereichen ineinandergreifen.
Machine learning methods offer a great potential to automatically investigate large amounts of data in the humanities. Our contribution to the workshop reports about ongoing work in the BMBF project KobRA (http://www.kobra.tu-dortmund.de) where we apply machine learning methods to the analysis of big corpora in language-focused research of computer-mediated communication (CMC). At the workshop, we will discuss first results from training a Support Vector Machine (SVM) for the classification of selected linguistic features in talk pages of the German Wikipedia corpus in DeReKo provided by the IDS Mannheim. We will investigate different representations of the data to integrate complex syntactic and semantic information for the SVM. The results shall foster both corpus-based research of CMC and the annotation of linguistic features in CMC corpora.
This software demonstration paper presents a project on the interactive visualization of social media data. The data presentation fuses German Twitter data and a social relation network extracted from German online news. Such fusion allows for comparative analysis of the two types of media. Our system will additionally enable users to explore relationships between named entities, and to investigate events as they develop over time. Cooperative tagging of relationships is enabled through the active involvement of users. The system is available online for a broad user audience.
The authors discuss how mutual criticism is expressed in the CouchSurfing community. As this community is based on mutual trust and the willingness to provide overnight accommodation in their own homes, user ratings that contain criticism and negative judgement have to be formulated in a way to avoid further conflicts and to maintain a good host image. This is why many negative evaluations contain mitigating strategies that anticipate future interactions in the community and that can be judged as face work.
Political debates bearing ideological references exist for long in our society; the last few years though the explosion of the use of the internet and the social media as communication means have boosted the production of ideological texts to unprecedented levels. This creates the need for automated processing of the text if we are interested in understanding the ideological references it contains. In this work, we propose a set of linguistic rules based on certain criteria that identify a text as bearing ideology. We codify and implement these rules as part of a Natural Language Processing System that we also present. We evaluate the system by using it to identify if ideology exists in tweets published by French politicians and discuss its performance.
This paper presents the TWEETDICT system prototype, which uses co-occurrence and frequency distributions of Twitter hashtags to generate clusters of keywords that could be used for topic summarization/identification. They also contain mentions referring to the same entity, which is a valuable resource for coreference resolution. We provide a web interface to the co-occurrence counts where an interactive search through the dataset collected from Twitter can be started. Additionally, the used data is also made freely available.
In this paper, we propose an integrated web strategy for mixed sociolinguistic research methodologies in the context of social media corpora. After stating the particular challenges for building corpora of private, non-public computer-mediated communication, we will present our solution to these problems: a Facebook web application for the acquisition of such data and the corresponding meta data. Finally, we will discuss positive and negative implications for this method.
In this paper, the author reflects in the terms self, identity and face. She will give (psychological) definitions of the terms self and identity and differentiate the two terms before she details the concept of face. The author will exemplify the use of face in a qualitative analysis in the Spanish online forum "Crepúsculo" (Twighlight).
Der vorliegende Beitrag stellt dar, wie eine Jungengruppe ihren Ausflug in eine Großstadt im sozialen Netzwerk SchülerVZ medial inszeniert. Sie nutzen hierbei verschiedene Funktionen des Netzwerkes, wie bspw. "Funksprüche" oder das Einstellen von Bildern. Als Schwerpunkt wird die sprachliche Umsetzung der Inszenierung näher betrachet.
The author dedicates her paper to collective attacks against absent third parties. The users, who do not know each other, construct a shared concept of the enemy which they then male fun of, attacking it collectively in the form of so-called 'flaming'. Even if the person being attacked is unaware of it, this FTA has the effect of enhancing the shared face of the group of attackers.
Der für unkonventionelle Schreibweisen im Internet gebrauchte Begriff der Neografie suggeriert eine völlige Neuartigkeit dieser Schreibweisen. Dass bei einer Vielzahl der neografischen Strategien und Verfahren, wie dem Gebrauch von Logogrammen, Syllabogrammen, der Konsonantenschreibweise und der Anwedung von ökonomisierenden Schreibungen, Parallelen zu teils schon lange bestehenden Traditionen feststellen lassen, soll dieser Beitrag zeigen.
The paper by Beatrix Kreß provides a contrastive study of face work in German and Russian online communication. She analyses users' comments in online newspaper and comes to the conclusion that Russian debates tend to have a more direct style, whereas German users more frequently apply humour to mitigate FTAs.
The difference between experts and laypeople is also the subject of the paper by Gesa Linnemann, Benjamin Brummernhenrich and Regina Jucks. In an experiment in pedagogical psychology, they examine efficient knowledge acquisition in e-learning contexts. In the experiment, tutors applied various strategies to criticise the learners' results, with different intensity levels of face threat. If mitigating strategies were used, the learners considered the tutors to be more credible.
