The European Anti-Corruption Centre™ (EurACC.eu)
- Critical Factors especially for the survivability of SMEs and small businesses:
Compelling yet Complicating Factors for Effective Anti-Corruption Research and Due Diligence:
- For most people, who are not personally fluent in a host of 'non-native' languages, it is astonishingly difficult to do multi-lingual searches for possible corruption and fraud in languages that they barely know or do not know, at all.
- Using traditional search engines normally requires at least minimal knowledge of the 'other language.'
- Transparently using Artificial Intelligence (AI) becomes essential in searching for references to fraud and corruption across languages and across borders. Though invisible to the end user, the simplicity of the search process for everyone, irrespective of their cultural or linguistic background, is fundamental.
- Many languages change the spellings of names, places and other nouns, slightly, depending on the position of the word in the sentence, and hence its 'case.' Searching in traditional search engines is not effective for uncovering fraud and corruption. Even the most advanced of such search engines uses poor tools that are not optimized for these purposes and they depend on identifying common mis-spellings and common typographical errors.
- Most people are not skilled in complicated, advanced searching methods, and can benefit from built-in 'invisible tools' of the EurACC to help them search effectively, comfortably and quickly 'in other languages' and 'in other countries.'
- Major search engines, like Google, Yahoo, Bing and others are becoming increasingly less-than-optimal for doing Anti-Corruption searches and Due Dilligence
- As their basic business cases focus increasingly on marketing and selling advertising, their 'usability' for Anti-Corruption searches and overall Due Diligence diminishes considerably, and hence their thoroughness and suitability for such important research are increasingly in question.
- Given the current decision of companies such as Google to 'personalize' the search results to reflect historical search trends of each user, the results of searches for most users become less and less impartial and search results can vary dramatically from one searcher to the next, even when searching in the same data center
- The parallel decision by Google and presumably more or less by other search engines to reduce the number of search results to the major and leading responses according to their algorithms, diminishes the thoroughness of such searches. This increases risk for searchers of reported corruption. Although it can save millions of dollars in electricity consumption in their operations as major search engine providers, and it is proposed as part of the 'personalization process' in search results, contrastingly, the diversity of responses sought in corruption-focused requirements of specialty searches demands more thorough search returns and often across results in more than one language in Europe, for example.