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Based on a lexical analysis of publications on 529 Facebook pages, published between 2013 and 2017, this research explores how Brazilian left-wing activist groups participate on Facebook to coordinate their opposition and engage in social struggles. This chapter shows how activist groups set up two main digital network repertoires of action when mobilizing on Facebook. First, in direct connection with major political events, the platform is used as a media arena to challenge governments’ political actions and second, it is employed as a tool to coordinate mobilization, whether these mobilizations are demonstrations on the street or at cultural events, such as at a music concert. These repertoires of action exemplify ways in which contemporary Brazilian activism is carried out at the intersection of online and offline engagements. While participants engage through these two repertoires, this network of activists is held together over time through a more mundane type of event, pertaining to the repertoire of action allowing the organization of mobilization. Stepping aside from opposition and struggles brought to the streets, the organization of cultural activities, such as concerts and exhibitions, punctuates the everyday exchanges in activists’ communications. Talk about cultural events and their related social agendas structures activist networks on a medium-term basis and creates the conditions for the coordination of (future) social movements, in that they offer the opportunities to stay in contact, in addition to taking part in occasional gatherings, between more highly visible social protests.

This paper aims to investigate the extent to which wine tour-operating companies are successfully using their websites to communicate persuasive and meaningful differences to customers in their quest to clearly position their product offering.

Text data are collected from 250 websites that promote wine tourism in five different countries’ winescapes. Lexical, regression and hierarchical clustering analyses are used.

Lexical analysis using DICTION can distinguish among websites from different countries’ winescapes, and French wines obtain the best mean review scores from customers, while US, Napa Valley, websites obtain the lowest scores. DICTION dimensions allow for meaningful clusters and can also predict TripAdvisor’s mean review scores.

There is a need to pay better attention in the development of website content and the critical role that both syntax and semantics can play in facilitating the use of a firm’s website, specifically in terms of clear positioning.

The study uses lexical analyses of website narratives to understand the current positioning of firms.

The purpose of this study is to explore linguistic stylometric patterns encompassing lexical, syntactic, structural, sentiment and politeness features that are found in librarians’ responses to user queries.

A total of 462 online texts/transcripts comprising answers of librarians to users’ questions drawn from the Internet Public Library were examined. A Principal Component Analysis, which is a data reduction technique, was conducted on the texts and transcripts. Data analysis illustrates the three principal components that predominantly occur in librarians’ answers: stylometric richness, stylometric brevity and interpersonal support.

The results of the study have important implications in digital information services because stylometric features such as lexical richness, structural clarity and interpersonal support may interplay with the degree of complexity of user queries, the (a)synchronous communication mode, application of information service guideline and manuals and overall characteristics and quality of a given digital information service. Such interplay may bring forth a direct impact on user perceptions and satisfaction regarding interaction with librarians and the information service received through the computer-mediated communication channel.

To the best of the authors’ knowledge, the stylometric features encompassing lexical, syntactic, structural, sentiment and politeness using Principal Component Analysis have not been explored in digital information/reference services. Thus, there is an emergent need to explore more fully how linguistic stylometric features interplay with the types of user queries, the asynchronous online communication mode, application of information service guidelines and the quality of a particular digital information service.

To evaluate the accuracy of conflation methods based on finite‐state transducers (FSTs).

Incorrectly lemmatized and stemmed forms may lead to the retrieval of inappropriate documents. Experimental studies to date have focused on retrieval performance, but very few on conflation performance. The process of normalization we used involved a linguistic toolbox that allowed us to construct, through graphic interfaces, electronic dictionaries represented internally by FSTs. The lexical resources developed were applied to a Spanish test corpus for merging term variants in canonical lemmatized forms. Conflation performance was evaluated in terms of an adaptation of recall and precision measures, based on accuracy and coverage, not actual retrieval. The results were compared with those obtained using a Spanish version of the Porter algorithm.

The conclusion is that the main strength of lemmatization is its accuracy, whereas its main limitation is the underanalysis of variant forms.

The report outlines the potential of transducers in their application to normalization processes.

Challenges the traditional perspective of product services in the business marketing literature. An original classification system is proposed that isolates and compares two types of product services: services that support the supplier’s product (e.g. after‐sale services) and services that support the client’s action in relation to the supplier’s product (e.g. training service). A qualitative study based on this classification is then reported. The study centered on one of the main European manufacturers in the micro‐electronics industry, and involved interviews with customers, distributors, and managers in the manufacturing firm.

The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.

The authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.

The analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.

The high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.

Aims to formalize the benchmarking process by proposing methods and tools for the steps of the process. Focuses on the first two phases of the benchmarking process: measurement and self analysis (phase 1), and determination of subject and partners of a benchmarking study (phase 2). For this purpose, related to the first phase, a method of diagnosis is employed. In the second phase, three different data analysis methods (lexical analysis, principal components analysis and common factor analysis) are utilized. These two phases serve the purpose of an internal benchmarking (comparison between different domains of activities in the enterprise) and of an external benchmarking study (comparison between different enterprises). Three enterprises are selected for the benchmarking application. Related data are collected and analyzed, and results are reported.

This paper aims to examine the practice of sustainability assurance and in particular the content of the assurance reports disseminated in the corporate social responsibility (CSR) reports. The objective of the research is to study the evolution of the content of the assurance reports of French companies. Have the reports evolved as a result of the standardization and regulation of the audit?

A longitudinal study has been carried out on French companies publishing CSR reports and their sustainability information has been checked for several years. The sample is composed of 19 listed French companies and 135 assurance reports over a period from 2001 to 2015.

The results highlight a change in the content of assurance reports according to standardization and regulatory of sustainability auditing. The content evolves from a generic discourse to a normative discourse notably because of the realization of a majority of assurance missions by accounting professionals and the increasing use of ISAE 3000 as well as by the introduction of the Grenelle II Law.

This paper shows how assurance reports have evolved over time in a particular regulatory context of the introduction of a law specific to assurance, Grenelle II Law, using a sample of French companies.

Although some studies have attempted to provide a historical analysis of this practice, no research has focused on longitudinal analysis in a particular context of introduction of a law specific to the assurance mission. The lack in previous literature resides in the lack of longitudinal analysis of assurance reports in the light of the evolution of the normative and regulatory frameworks.

This chapter aims to analyze the sociabilities, information-sharing behaviors, and types of social support among users of French non-mixed trans Facebook groups. First, our national survey (N = 405) reveals that the different uses of these groups (information retrieval, emotional support, etc.) vary according to the age and education levels of their trans users, or according to their progress on the transition pathways. Second, we perform a lexical analysis of the messages (N = 70,488) posted, since 2013, in a sample of 24 groups, in order to identify the main topics of discussion. This analysis leads us to emphasize the diversity of social support provided by trans people to one another, via posts and comments. These findings deemphasize the benefits of institutional support because they suggest, alternatively, that trans people are organizing themselves to avoid challenges associated with medical institutions and the French “therapeutic shield.. Such individuals use Facebook to this end, sharing information or support in order to create a safe space managed with a transfeminist ethic, and allowing themselves to make gender-related choices more autonomously, far away from normative judgements (in particular those expressed by the medical profession).

Cybercrime has rapidly developed in recent years thanks in part to online markets for tools and credentials. Credential trading operates along the lines of a wholesale distribution model, where compromised credentials are bundled together for sale to end‐users. Thus, the criminals who specialize in obtaining credentials (through phishing, dumpster diving, etc.) are typically not the same as the end‐users. This research aims to propose an initial methodology for further understanding of how credentials are traded in online marketplaces (such as internet relay chat (IRC) channels), such as typical amounts charged per credential, and with a view to preliminary profiling, especially based on language identification.

This research proposes an initial methodology for further understanding of how credentials are traded in online marketplaces (such as IRC channels), such as typical amounts charged per credential, and with a view to preliminary profiling, especially based on language identification. Initial results from a small sample of credential chatroom data is analysed using the technique.

The paper identified five key term categories from the subset of the 100 most frequent terms (bank/payment provider names, supported trading actions, non‐cash commodities for trading, targeted countries and times), and demonstrated how actors and processes could be extracted to identify common business processes in credential trading. In turn, these elements could potentially be used to track the specific trading activities of individuals or groups. The hope in the long‐term is that we may be able to cross‐reference named entities in the credential trading world (or a pattern of activity) and cross‐reference this with known credential theft attacks, such as phishing.

This is the first study to propose a methodology to systematically analyse credential trading on the internet.