The field of AI-mediated communication is undergoing significant changes, with a notable increase in the use of large language models to analyze and generate human-like language. Research has shown that AI-mediated communication can have a profound impact on language complexity and sentiment, with studies revealing a shift towards more positive and complex language patterns over time. Additionally, the use of AI chatbots has been found to be effective in increasing short-term vaccine intentions, although their long-term effects and persuasive capabilities are still being debated. The analysis of linguistic complexity and socio-cultural patterns in hip-hop lyrics has also provided insights into the evolution of language and cultural dynamics. Furthermore, the potential risks of large language model chatbots to democratic societies have been assessed, with findings suggesting that while they may be persuasive, their costs and scalability are still limitations. Noteworthy papers in this area include: Detecting Effects of AI-Mediated Communication on Language Complexity and Sentiment, which reveals a significant increase in sentiment polarity and a shift towards more positive expressions. Conversations with AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging, which finds that AI chatbots can increase vaccine intentions but have limited long-term effects. A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies, which estimates the costs of LLM-based persuasion and highlights the importance of considering exposure and scalability.