The recent research in the field of social media and misinformation highlights several key trends. Firstly, there is a growing emphasis on the role of individual professionals, such as health experts, in countering misinformation directly through platforms like TikTok. This 'Debunk-It-Yourself' approach is notable for its focus on trending, harmful claims and its reliance on scientific evidence. Secondly, the dynamics of online discourse are increasingly understood through the lens of ideological polarization, where shared beliefs shape engagement more than individual actors. This trend is evident across global debates, suggesting a broader pattern of ideological divides. Thirdly, the impact of technological mediation on personal uncertainty, particularly in health contexts like COVID-19, is being explored, with new theoretical components proposed to account for these effects. Lastly, the phenomenon of self-censorship due to toxic behavior in online political conversations is gaining attention, offering insights into the mechanisms of ideological polarization in digital spaces. Notably, innovative methods combining social network analysis and semantic topic classification are being used to dissect the spread of misinformation, providing a more nuanced understanding of echo chambers.