A major deficiency in state-of-the-art automatic speech recognition (ASR) systems is the lack of robustness in additive and convolutional noise. The model of auditory perception (PEMO), developed by Dau et al. (1996a) for psychoacoustical purposes, partly overcomes these difficulties when used as a front end for automatic speech recognition. To further improve the performance of this auditory-b...

In this section, we briefly present the formalism we use. This formalism aims at describing the state of a system and its dynamic behaviour in an algebraic framework [DG 94]. It was first introduced in a case study on a formal specification of the embedded safety part of an automatic subway pilot [DM 91], [Dau 92], [DGM 93], in order to cope with the large number of variables whose values made ...

With the rise of social media, it became normal for people to read and follow other users' opinion. This created the opportunity for corporations, governments and others to distribute rumors, misinformation, and speculation and to use other dishonest practices to manipulate public opinion (Derczynski and Bontcheva , 2014). They could consistently use trolls (Cambria, Chandra and Sharma , 2010),...

The development of social media applications, such as blogs, Facebook and Twitter, has offered new participatory opportunities for everyday media users. This article contributes to research by looking into one specific aspect of the increasingly more participatory media ecology – the news comment feature. Drawing on a quantitative content analysis of 1100 news pieces, as well as spaces for user...

Large-scale data resulting from users’ online interactions provide the ultimate source of information to study emergent social phenomena on the Web. From individual actions of users to observable collective behaviors, different mechanisms involving emotions expressed in the posted text play a role. Here we combine approaches of statistical physics with machine-learning methods of text analysis ...

Online news comments are often confronted with issues of civility and inclusivity, which are sometimes pegged to the anonymity afforded to contributors in those spaces. In this work we study one form of anonymity in online comments that manifests as users changing their display name when they write a given comment. We undertake a predominantly quantitative analysis of how display names are chan...

Subject of this paper is a fine-grained multilevel annotation model to enhance opinion detection in German blog comments. Up to now, only little research deals with the finegrained analysis of evaluative expressions in German blog comments. Therefore, we suggest a multi-level annotation model where different linguistic means as well as linguistic peculiarities of users’ formulation and evaluati...

Various news sites exist today where internet users can read the most recent news and people’s opinions about. However, usually these sites do not organize comments well and do not filter irrelevant content. Due to this limitation, readers who wonder about people’s opinion regarding some specific topic, have to manually follow relevant comments, reading and filtering a lot of irrelevant text. I...

In this paper we study how to identify persuasive posts in the online forum discussions, using data from Change My View sub-Reddit. Our analysis confirms that the users’ voting score for a comment is highly correlated with its metadata information such as published time and author reputation. In this work, we propose and evaluate other features to rank comments for their persuasive scores, incl...