Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi, Yang, Mengting Wan

TL;DR
This paper introduces CCC, an LLM-powered system that helps employees craft personalized workplace social media posts by suggesting outlines and edits, improving writing experience and post quality.
Contribution
The paper presents a novel interactive system that decomposes social media post creation into outlining and editing, tailored to individual user voices and contexts.
Findings
CCC improves user writing experience
Audience rates CCC-enhanced posts as higher quality
System effectively personalizes social media content
Abstract
Workplace social media platforms enable employees to cultivate their professional image and connect with colleagues in a semi-formal environment. While semi-formal corporate communication poses a unique set of challenges, large language models (LLMs) have shown great promise in helping users draft and edit their social media posts. However, LLMs may fail to capture individualized tones and voices in such workplace use cases, as they often generate text using a "one-size-fits-all" approach that can be perceived as generic and bland. In this paper, we present Corporate Communication Companion (CCC), an LLM-empowered interactive system that helps people compose customized and individualized workplace social media posts. Using need-finding interviews to motivate our system design, CCC decomposes the writing process into two core functions, outline and edit: First, it suggests post outlines…
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Taxonomy
TopicsKnowledge Management and Sharing · Wikis in Education and Collaboration · Digital Rights Management and Security
