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The ongoing COVID-19 pandemic resulted in significant ramifications forinternational relations ranging from travel restrictions, global ceasefires,and international vaccine production and sharing agreements. Amidst a wave ofinfections in India that resulted in a systemic breakdown of healthcareinfrastructure, a social welfare organization based in Pakistan offered toprocure medical-grade oxygen to assist India -- a nation which was involved infour wars with Pakistan in the past few decades. In this paper, we focus onPakistani Twitter users' response to the ongoing healthcare crisis in India.While #IndiaNeedsOxygen and #PakistanStandsWithIndia featured among thetop-trending hashtags in Pakistan, divisive hashtags such as#EndiaSaySorryToKashmir simultaneously started trending. Against the backdropof a contentious history including four wars, divisive content of this nature,especially when a country is facing an unprecedented healthcare crisis, fuelsfurther deterioration of relations. In this paper, we define a new task ofdetecting \emph{supportive} content and demonstrate that existing \emph{NLP forsocial impact} tools can be effectively harnessed for such tasks within a quickturnaround time. We also release the first publicly available data set at theintersection of geopolitical relations and a raging pandemic in the context ofIndia and Pakistan.

Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics