# Collective Intelligence in Polish-Ukrainian Internet Projects. Debate Models and Research Methods
## 3 Results
### The Qualitative Research: In-Depth Interviews
#### 3.2.3 Most Appropriate Methods of Researching CI in Polish-Ukrainian Projects  
The next topic of the survey was a question: Which of the presented CI research methods seemed to be the most suitable for studying Polish-Ukrainian internet projects and why? The study participants agreed that in order to prepare for the implementation of internet projects, it was necessary to determine the method of verifying whether these projects meet the adopted assumptions, and to set criteria for achieving success, defined in our case as achieving a certain level of collective intelligence. To this end, a research method should be adopted to determine whether or not group intelligence has emerged, and if we detect the factors that influence its emergence, we could influence the participants to communicate intelligently with each other. Participants agreed that there are various factors and situations that motivate us to more or less intelligent debate. \"The idea is not to waste time on pointless shouting on internet forums, but to launch a project in which we can reliably check if it works\", and therefore to determine in what situations in joint Polish-Ukrainian projects the intelligence of the group is emerging and in what situations the group works well etc. The participants' opinions about individual research methods varied. The first of the presented methods--calculating metrics of online communication and performing their statistical analysis--was considered valuable by 8 out of 12 participants. They observed its impartiality and accuracy, and the ability to process large amounts of data (scalability). At the same time, some of the respondents thought that using this method, it would be difficult to capture the nuances associated with the motivations of the participants in the debate. This method also seemed difficult because of the technical requirements (dedicated work environment, analytical server). Due to the experimental nature of the study, the debate groups should be artificial, recruited communities, so it must be ensured that their structure is representative of real-life society. Purely statistical data processing raised doubts whether it will be possible to delve deeper into understanding interpersonal relationships. Some participantsbelieved that due to the cultural differences that exist among the participants, the results of the study may be distorted and the \"machine\" will not catch it. Despite this, most participants of our study highly appreciated this method, although with certain reservations: \"this method is by far the most objective, but also the most impersonal. Thanks to this method we have statistics that can be complex and multi-faceted, but the statistics don't always show where people's behavior comes from\". To point out one advantage of this method, participants mentioned the opportunity to acquire new knowledge, which is not based on the repetition of heard opinions, but on an unbiased analysis of data. Knowledge about how people took part in the debate, whether there were conflicts, whether they argued in a coherent way, which subgroups formed, whether there was herd thinking, may surprise us, because it is possible that stereotypes will not find confirmation. Of course, this data requires in-depth analysis using other tools to examine intentions, emotions, honesty, etc. The second method, based on using composite indexes to valuate diverse aspects of CI in a graded scale of points, may according to participants allow the study of real online communities, regardless of the laboratory experiments carried out. It will allow the obtainment of data closer to the real state of Polish-Ukrainian online communities. This may allow the showing of a change in attitudes in these communities over time, and to verify whether a minority (Ukrainian) group will show willingness to work together with Poles. Much depends here on determining the scale of the study (how many communities, what are their goals, what period of study we will take).