Following Turkey's 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable statistics on irregular migration and discrepancies between media reports and actual migration patterns require further exploration. The objective of this study is to bridge this knowledge gap by harnessing novel data sources, specifically mobile phone and Twitter data, to construct estimators of cross-border mobility and to cultivate a qualitative comprehension of the unfolding events. By employing a migration diplomacy framework, we analyse emergent mobility patterns at the border. Our findings demonstrate the potential of mobile phone data for quantitative metrics and Twitter data for qualitative understanding. We underscore the ethical implications of leveraging Big Data, particularly considering the vulnerability of the population under study. This underscores the imperative for exhaustive research into the socio-political facets of human mobility, with the aim of discerning the potentialities, limitations, and risks inherent in these data sources and their integration. This scholarly endeavour contributes to a more nuanced understanding of migration dynamics and paves the way for the formulation of regulations that preclude misuse and oppressive surveillance, thereby ensuring a more accurate representation of migration realities.

翻译：土耳其于2020年宣布撤销边境管控后，大量人员涌向希腊、保加利亚与土耳其边境。然而，关于非正常移民的可验证统计数据缺失，以及媒体报道与实际移民模式之间的差异，亟待进一步探究。本研究旨在通过整合新型数据源——特别是手机与Twitter数据——构建跨境流动性的估算指标，并形成对事件动态的定性理解，以弥合这一知识缺口。借助移民外交分析框架，我们解析了边境地区涌现的流动模式。研究结果表明，手机数据在量化指标构建方面具有潜力，而Twitter数据则有助于深化定性认知。我们特别强调运用大数据所涉及的伦理问题，尤其考虑到研究对象的脆弱性。这凸显了对人口流动的社会政治维度开展深入研究的必要性，以期厘清这些数据源及其整合应用中蕴含的潜力、局限与风险。本学术探索有助于更细致地理解移民动态，并为制定防止数据滥用与压迫性监控的规范奠定基础，从而更精准地呈现移民现实。