# Collective Intelligence in Polish-Ukrainian Internet Projects. Debate Models and Research Methods
## 4 Discussion
Especially combining the quantitative methods, processing numerical data from the server, with qualitative assessments clarifying the incentives, interests, and emotions related with communication processes, seems to be a promising approach. On the other hand, using composite indexes to valuate diverse aspects of CI in a graded scale of points may allow monitoring the real online communities, regardless of the laboratory experiments carried out. The presented debate models and CI testing methods may also significantly contribute to an increase in bridging capital in online projects. This may occur especially by building mutual trust, which is a necessary component of social capital: By gaining knowledge about the intensity and density of networks; reciprocity; fulfilling community norms, as well as common CI genes (including \"contestation\" gene). Studies conducted so far prove that internet communication under certain conditions can have a positive impact on social capital [62; 63; 64; 65]. Relations between emerging collective intelligence and an increase of social capital have been indicated in several publications [53; 78; 79; 80], but have not been the subject of separate research in recent years. That is why we encourage researchers from various disciplines to take up this topic in their future work. Additionally, an issue that our participants pointed out and which should be analysed in more detail, is filtering out users intentionally distorting communication (internet trolls), which shouldhelp to maintain the community standards. This can be tracked by the analytics server, composite index method or by qualitative assessments. The results of our work, both the literature review and qualitative studies, open up the possibility of conducting further research that would allow the validation of their accuracy using empirical methods. First, experiments should verify which of the debate models, as well as the debate topics will actually be appropriate for specific Polish-Ukrainian online communities: What kind of community features and the issues raised in the debate will work better with the deliberative model, based on consensus and dispute mitigation, and when will the agonistic model, based on competition and allowing group identities and emotions, be more appropriate? This can be tested by selecting several more or less controversial debate topics, recruiting groups with different user profiles, and setting the purpose of the debate either as a common, widely acceptable result, or as a preference ranking. Another possibility of further work would be evaluating the performance of existing communities to find out methods for detecting \"internet trolls\", i.e., people, who purposely disrupt communication to provoke other participants. However, it should be also examined whether stigmatising such behavior leads to abuse by restricting freedom of expression and introducing censorship. Another question to be further explored is how does the choice of the language of the debate affect equal participation, communication intensity, and conflicts, and in which situations is bilingualism necessary and in which optional. As for the presented CI research methods, the actual suitability of each of them should also be checked during empirical research. Specific issues that should be explored in the case of the calculating metrics method, relate to its ability to detect nuances associated with the actual motivations of the participants. In the case of the method based on the CI potential index, it should be particularly examined which of the existing sub-indexes have a specific impact on Polish-Ukrainian communities. Then, in the case of a CI genome study, it would be interesting to verify the existence and impact of the contestation gene on community activities.