diff --git a/demo/notebooks/inter_annotator_agreement.ipynb b/demo/notebooks/inter_annotator_agreement.ipynb
index c8404e4..f4538f9 100644
--- a/demo/notebooks/inter_annotator_agreement.ipynb
+++ b/demo/notebooks/inter_annotator_agreement.ipynb
@@ -219,10 +219,8 @@
    "metadata": {},
    "cell_type": "markdown",
    "source": [
-    "As the confusion matrix shows for the calculation of Scott's pi, only the annotations from annotation collection 1\n",
-    "with the tag 'process_event' have been taken into account.\n",
-    "From annotation collection 2 there are still two annotations considered, with the tags 'stative_event' and 'change_of_state' respectively.\n",
-    "But we can filter both annotation collections, too:"
+    "As the confusion matrix shows for the calculation of Scott's Pi, only the annotations with the tag 'process_event' have been taken into account.\n",
+    "If we would want to filter only the first collection and compare it with a second, unfiltered collection, we can use the parameter `filter_both_ac`:"
    ]
   },
   {
@@ -233,7 +231,7 @@
     "    ac1_name_or_inst='ac_1',\n",
     "    ac2_name_or_inst='ac_2',\n",
     "    tag_filter=['process_event'],\n",
-    "    filter_both_ac=True\n",
+    "    filter_both_ac=False\n",
     ")"
    ],
    "outputs": [],
diff --git a/gitma/_metrics.py b/gitma/_metrics.py
index 037481e..646f0ec 100644
--- a/gitma/_metrics.py
+++ b/gitma/_metrics.py
@@ -22,7 +22,7 @@ def filter_ac_by_tag(
         ac1 (AnnotationCollection): First annotation collection.
         ac2 (AnnotationCollection): Second annotation collection.
         tag_filter (list, optional): The list of tags to be included. Defaults to None.
-        filter_both_ac (bool, optional): If `True` both collections get filtered . Defaults to True.
+        filter_both_ac (bool, optional): If `True` both collections get filtered. Defaults to True.
 
     Returns:
         Tuple[List[Annotation]]: Two filtered list of annotations.
@@ -231,7 +231,7 @@ def get_annotation_pairs(
         ac1: AnnotationCollection,
         ac2: AnnotationCollection,
         tag_filter: list = None,
-        filter_both_ac: bool = False,
+        filter_both_ac: bool = True,
         property_filter: str = None,
         verbose: bool = True) -> List[Union[Tuple[Annotation, EmptyAnnotation], Tuple[Annotation, Annotation]]]:
     """
@@ -245,7 +245,8 @@ def get_annotation_pairs(
         ac1 (AnnotationCollection): First annotation collection.
         ac2 (AnnotationCollection): Second annotation collection.
         tag_filter (list, optional): The list of tags to be included. Defaults to `None` (no filter / all tags included).
-        filter_both_ac (bool, optional): If `True` the `tag_filter` is applied to both collections. Defaults to `False`.
+        filter_both_ac (bool, optional): If `True` the `tag_filter` is applied to both collections, if `False`, the `tag_filter` is applied\
+         only to the first collection. Defaults to `True`.
         property_filter (str, optional): If not `None`, only annotations with this property are included. Defaults to\
                                          `None` (no filter / all annotations included).
         verbose (bool, optional): Whether to print results to stdout. Defaults to `True`.
diff --git a/gitma/project.py b/gitma/project.py
index 92f6e66..f12f177 100644
--- a/gitma/project.py
+++ b/gitma/project.py
@@ -726,7 +726,7 @@ def get_iaa(
         ac1_name_or_inst: Union[str, AnnotationCollection],
         ac2_name_or_inst: Union[str, AnnotationCollection],
         tag_filter: list = None,
-        filter_both_ac: bool = False,
+        filter_both_ac: bool = True,
         level: str = 'tag',
         include_empty_annotations: bool = True,
         distance: str = 'binary',
@@ -744,8 +744,8 @@ def get_iaa(
             ac2_name_or_inst (str): The name or instance of the second annotation collection, whose annotations will be searched for\
                                     matches to those in the first.
             tag_filter (list, optional): Which tags should be included. Defaults to `None` (all tags).
-            filter_both_ac (bool, optional): Whether the tag filter should be applied to both annotation collections. Defaults to `False`\
-                                             (only applied to the first collection).
+            filter_both_ac (bool, optional): Whether the tag filter should be applied to both annotation collections. Defaults to `True`\
+                                             (applies to both collections).
             level (str, optional): Whether the annotations' tags or a specified property (prefixed with 'prop:') should be compared. Defaults\
                                    to 'tag'.
             include_empty_annotations (bool, optional): If `False`, only annotations with a matching annotation in the second collection are\
@@ -894,7 +894,7 @@ def calculate_scotts_pi(
             ac1_name_or_inst: Union[str, AnnotationCollection],
             ac2_name_or_inst: Union[str, AnnotationCollection],
             tag_filter: list = None,
-            filter_both_ac: bool = False,
+            filter_both_ac: bool = True,
             level: str = 'tag',
             include_empty_annotations: bool = True,
             distance: str = 'binary',
@@ -910,8 +910,8 @@ def calculate_scotts_pi(
             ac2_name_or_inst (str): The name or instance of the second annotation collection, whose annotations will be searched for\
                                     matches to those in the first.
             tag_filter (list, optional): Which tags should be included. Defaults to `None` (all tags).
-            filter_both_ac (bool, optional): Whether the tag filter should be applied to both annotation collections. Defaults to `False`\
-                                             (only applied to the first collection).
+            filter_both_ac (bool, optional): Whether the tag filter should be applied to both annotation collections. Defaults to `True`\
+                                             (applies to both collections).
             level (str, optional): Whether the annotations' tags or a specified property (prefixed with 'prop:') should be compared. Defaults\
                                    to 'tag'.
             include_empty_annotations (bool, optional): If `False`, only annotations with a matching annotation in the second collection are\
@@ -936,7 +936,7 @@ def calculate_cohens_kappa(
             ac1_name_or_inst: Union[str, AnnotationCollection],
             ac2_name_or_inst: Union[str, AnnotationCollection],
             tag_filter: list = None,
-            filter_both_ac: bool = False,
+            filter_both_ac: bool = True,
             level: str = 'tag',
             include_empty_annotations: bool = True,
             distance: str = 'binary',
@@ -952,8 +952,8 @@ def calculate_cohens_kappa(
             ac2_name_or_inst (str): The name or instance of the second annotation collection, whose annotations will be searched for\
                                     matches to those in the first.
             tag_filter (list, optional): Which tags should be included. Defaults to `None` (all tags).
-            filter_both_ac (bool, optional): Whether the tag filter should be applied to both annotation collections. Defaults to `False`\
-                                             (only applied to the first collection).
+            filter_both_ac (bool, optional): Whether the tag filter should be applied to both annotation collections. Defaults to `True`\
+                                             (applies to both collections).
             level (str, optional): Whether the annotations' tags or a specified property (prefixed with 'prop:') should be compared. Defaults\
                                    to 'tag'.
             include_empty_annotations (bool, optional): If `False`, only annotations with a matching annotation in the second collection are\