This report is part of the project 2O2CM Overcoming Obstacles and Disincentives to Climate Change Mitigation: A cross-cutting approach by human and social sciences, funded by Solstice (JPI Climate). The goals of this analysis are to understand “how climate change is depicted and communicated in Twitter; what are the obstacles to the adoption of attitudes and behaviours of climate change mitigation: forms of resistance, deformation, and denial; and what textual sources are mostly read, cited and commented on by laypeople and authorities online.” We will tackle these questions from alinguistic perspective, and particularly with a combination of methods from corpus linguistics anddiscourse analysis (which will be explained in detail in section 2.). This will translate very specificallyin the following objectives:Objective 1: Collect a corpus of Belgian French, Climate change-related tweetsObjective 2: Analyze the distribution of the data across segments, time and particular accounts (most active, most mentioned)Objective 3: Analyze the presence and distribution of several important axes related to Climate change that have a crucial impact on individual life (food, transport, energetic efficiency)Objective 4: Extract and analyze the expressions of difficulty in the corpus at different linguistic levels.