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Cannabis is one of the most consumed psychoactive substances globally. Reasons for using it are diverse, and coping motives are common. Reporting coping motives has been associated with frequency of use, a strong predictor of cannabis-related harms. However, little is known on the impact of polysubstance use on cannabis use frequency, notably while accounting for cannabis motives.
The present study therefore aims at identifying factors associated with frequent cannabis use in a large European survey, with a special focus on cannabis motives and use of other substances.
Mots clés : cannabis; motives; European Web Survey on Drugs; stimulants; polydrug use.
Advances in both cancer diagnosis and treatment have contributed to an increase in survival and life expectancy in recent decades. Many life challenges can arise after cancer treatment, including difficulties in accessing loans. In 2016, a law called the “Right To Be Forgotten” (RTBF) was adopted in France to help cancer survivors access loan-related insurance.
This presentation will focus on the textual and sentiment analysis of French press articles discussing the adoption of the Right to Be Forgotten law. By leveraging some NLP (Natural language processing) techniques, we will analyze the polarity and subjectivity scores to gain insights into how the media portrays this legal framework.
Our objective is to uncover patterns, biases, and the overall sentiment expressed in the coverage, shedding light on how the French press shapes public perception and debates surrounding the right to be forgotten.
Mots clés : Textual Analysis; Natural language processing; Cancer survivorship; Policy making
