Virtual Speech Community: A Sociolinguistic Analysis Of Kenyan Facebook Communication
Abstract/ Overview
Rapid evolution of communication technologies has changed language use, thereby
yielding new forms of discourse and authorship, as well as novel ways to create and
participate in communities. Computer mediated communication has attracted the attention
of researchers as a linguistic phenomenon. Researchers have focused on usage patterns
and peculiarities of the internet language. Research questions such -,as those of creating
virtual speech communities and conversation analysis, however, have not been taken into
account. The difference between real and imagined speech communities, however, in
online communication is still unclear. This study, therefore, sought to investigate the
aspect of virtual speech community in Facebook communication. In particular, it seeks to
analyze the features that characterize Facebook communication as a virtual speech
community. The objectives of the study were to: investigate how Facebook members form
a speech community, examine the interaction features of Facebook speech community,
determine how the context of Facebook communication affects the linguistic patterns of
use and describe how members of Facebook reinforce their speech community. Herring's
computer mediated discourse analysis theoretical framework was used to analyze the data
which was collected. The study used a survey design. The study population was 2545
participants. Random sampling was employed to select 255 participants as a sample size
for the study. The study used secondary data based on library and online research. There
was also the use of interviews, participant observations, questionnaires and data logging
methods to source data from Facebook users. The data was analyzed both qualitatively and
quantitatively. Data collected from interviews and participant observation methods was
analyzed qualitatively while data collected from questionnaires and data logging was
analyzed quantitatively. The findings indicated that technologically mediated
communication such as Facebook, has fostered the development of new textual ways of
forming virtual speech communities. Facebook speech community was characterized by
sharing interest, discourse norm and text and language. Facebook users also developed a
set of interaction norms for their speech community. Medium and social factors affected
the linguistic pa.tterns of use. This study also showed that specific communication patterns and social actions had specific roles in the maintenance of a speech community. This study
is expected to make valuable assessment of online communication analysis, such as those
of creating speech communities across time and space, thus, contributing towards an
understanding of emerging issues of style and register in sociolinguistic study.