Published March 6, 2025
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TECHNOLOGY SHAPES THE FUTURE OF HUMAN LANGUAGE
Description
Language has undergone a profound transformation due to rapid
technological advancements, significantly blurring the traditional distinctions
between written and spoken communication. This thesis delves into the multifaceted
influence of digital tools, including social media platforms, artificial intelligence (AI)
applications, and voice-activated assistants, on the evolution of language. Focusing
on key linguistic phenomena such as internet vernacular, the use of emoticons and
emojis, and the impact of predictive text, this research explores how these
technologies are shaping contemporary language practices. The study examines how
online vernacular, characterized by abbreviations, acronyms, and neologisms, reflects
the dynamic and creative nature of digital communication. It further analyzes the role
of emoticons and emojis in conveying emotions and nonverbal cues in online
interactions, investigating their contribution to multimodal communication. The
thesis also investigates the impact of predictive text and autocorrection features on
writing styles and language accuracy, considering both the benefits and potential
drawbacks of these tools. While these technological advancements offer increased
efficiency and accessibility in communication, they also raise important questions
regarding the interpretation of tone and intent in digital contexts, as well as the
potential for exacerbating existing disparities in digital access and literacy.
Addressing concerns about the simplification of language, this research argues that
digital communication fosters linguistic adaptability and innovation rather than
decline, highlighting the creative ways in which individuals adapt language to suit the
demands of online interaction. Furthermore, considering the increasing prevalence of
AI in human interaction, this thesis emphasizes the critical importance of
understanding the long-term effects of these technologies on language development,
communication patterns, and the very nature of human relationships in the digital age.
751The study concludes by suggesting areas for future research, including the ethical
implications of AI-generated language and the evolving relationship between humans
and machines in the context of communication.
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References
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