A very simple way of doing this is shown below
select userId, substring_index(four_highest,',',1) as 'highest value', substring_index(substring_index(four_highest,',',2),',',-1) as '2th highest value', substring_index(substring_index(four_highest,',',3),',',-1) as '3 rd highest value', substring_index(four_highest,',',-1) as '4th highest value' from
(
select userid, convert(group_concat(val) using utf8) as four_highest from
(
select userId,Buitenland as val,'Buitenland' as col from test where userid=9 union
select userId,Economie as val,' Economie' as col from test where userid=9 union
select userId,Sport as val ,'Sport' as col from test where userid=9 union
select userId,Cultuur as val,'Cultuur' as col from test where userid=9 union
select userId,Wetenschap as val,'Wetenschap' as col from test where userid=9 union
select userId,Media as val,'Media' as col from test where userid=9 order by val desc limit 4
) inner_query
)outer_query;
userID:9 | highest value:Media | 2nd highest value:Wetenschap | 3rd highest value:Economie | 4th highest value:Sportuserid, category, articlecount). Then it would be easy to pull the 4 largest articlecount values for each user, and print the associated categories.