LaCulturaNonSiFerma -- Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown

This report presents an analysis of #hashtags used by Italian Cultural Heritage institutions to promote and communicate cultural content during the COVID-19 lock-down period in Italy. Several activities to support and engage users' have been proposed using social media. Most of these activities present one or more #hashtags which help to aggregate content and create a community on specific topics. Results show that on one side Italian institutions have been very proactive in adapting to the pandemic scenario and on the other side users' reacted very positively increasing their participation in the proposed activities.Comment: in Italia

What's the Matter with Cultural Heritage Tweets? An Ontology - Based Approach for CH Sensitivity Estimation in Social Network Activities

In 2015, Twitter introduced the hashtag #culturalheritage, thus giving an empirical evidence of the increasing interest of users towards cultural topics and events. In the last years, while an increasing number of studies and initiatives about tweets, in both the academic and business worlds, raised, a lack of quantitative studies devoted to assess their potential and effectiveness for organizations promoting Cultural Heritage was recorded. So, this work describes a quantitative analysis of tweets which combines NLP, semantic technologies, geo-referencing and temporal analysis. The initial set of measures aims to characterize people's interest and sensitivity into CH subjects, geographical density of CH resources, and temporal proximity to CH-related events. Furthermore, in order to evidence the relevance of the obtained results, they are compared to similar measures computed for different but more general topics - such as Medicine - while at the same time entail a certain specificity of interest, which cannot be confused with reactions to common mainstream, glamour or massive-impressive events (earthquakes, political elections, wars, amazing news). This kind of analysis was focused on huge datasets of tweets, issued in a long period of time from geographical areas of Italy having different densities of CH resources, The results encourage and sustain a Business-Intelligence approach which is suitable for both no-profit ad business oriented organizations, such as those involved in the DATABENC District