  In this work we explore possibilities for coding when information worlds have
different (semantic) values. We introduce a loss function that expresses the
overall performance of a coding scheme for discrete channels and exchange the
usual goal of minimizing the error probability to that of minimizing the
expected loss. In this environment we explore the possibilities of using
poset-decoders to make a message-wise unequal error protection (UEP), where the
most valuable information is protected by placing in its proximity information
words that differ by small valued information. Similar definitions and results
are shortly presented also for signal constellations in Euclidean space.
